mirror of
https://github.com/moparisthebest/SickRage
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369 lines
14 KiB
Python
369 lines
14 KiB
Python
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"""
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JPEG picture parser.
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Information:
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- APP14 documents
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http://partners.adobe.com/public/developer/en/ps/sdk/5116.DCT_Filter.pdf
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http://java.sun.com/j2se/1.5.0/docs/api/javax/imageio/metadata/doc-files/jpeg_metadata.html#color
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- APP12:
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http://search.cpan.org/~exiftool/Image-ExifTool/lib/Image/ExifTool/TagNames.pod
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Author: Victor Stinner
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"""
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from lib.hachoir_core.error import HachoirError
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from lib.hachoir_parser import Parser
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from lib.hachoir_core.field import (FieldSet, ParserError,
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UInt8, UInt16, Enum,
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Bit, Bits, NullBits, NullBytes,
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String, RawBytes)
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from lib.hachoir_parser.image.common import PaletteRGB
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from lib.hachoir_core.endian import BIG_ENDIAN
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from lib.hachoir_core.text_handler import textHandler, hexadecimal
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from lib.hachoir_parser.image.exif import Exif
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from lib.hachoir_parser.image.photoshop_metadata import PhotoshopMetadata
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MAX_FILESIZE = 100 * 1024 * 1024
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# The four tables (hash/sum for color/grayscale JPEG) comes
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# from ImageMagick project
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QUALITY_HASH_COLOR = (
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1020, 1015, 932, 848, 780, 735, 702, 679, 660, 645,
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632, 623, 613, 607, 600, 594, 589, 585, 581, 571,
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555, 542, 529, 514, 494, 474, 457, 439, 424, 410,
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397, 386, 373, 364, 351, 341, 334, 324, 317, 309,
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299, 294, 287, 279, 274, 267, 262, 257, 251, 247,
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243, 237, 232, 227, 222, 217, 213, 207, 202, 198,
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192, 188, 183, 177, 173, 168, 163, 157, 153, 148,
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143, 139, 132, 128, 125, 119, 115, 108, 104, 99,
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94, 90, 84, 79, 74, 70, 64, 59, 55, 49,
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45, 40, 34, 30, 25, 20, 15, 11, 6, 4,
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0)
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QUALITY_SUM_COLOR = (
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32640,32635,32266,31495,30665,29804,29146,28599,28104,27670,
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27225,26725,26210,25716,25240,24789,24373,23946,23572,22846,
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21801,20842,19949,19121,18386,17651,16998,16349,15800,15247,
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14783,14321,13859,13535,13081,12702,12423,12056,11779,11513,
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11135,10955,10676,10392,10208, 9928, 9747, 9564, 9369, 9193,
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9017, 8822, 8639, 8458, 8270, 8084, 7896, 7710, 7527, 7347,
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7156, 6977, 6788, 6607, 6422, 6236, 6054, 5867, 5684, 5495,
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5305, 5128, 4945, 4751, 4638, 4442, 4248, 4065, 3888, 3698,
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3509, 3326, 3139, 2957, 2775, 2586, 2405, 2216, 2037, 1846,
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1666, 1483, 1297, 1109, 927, 735, 554, 375, 201, 128,
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0)
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QUALITY_HASH_GRAY = (
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510, 505, 422, 380, 355, 338, 326, 318, 311, 305,
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300, 297, 293, 291, 288, 286, 284, 283, 281, 280,
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279, 278, 277, 273, 262, 251, 243, 233, 225, 218,
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211, 205, 198, 193, 186, 181, 177, 172, 168, 164,
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158, 156, 152, 148, 145, 142, 139, 136, 133, 131,
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129, 126, 123, 120, 118, 115, 113, 110, 107, 105,
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102, 100, 97, 94, 92, 89, 87, 83, 81, 79,
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76, 74, 70, 68, 66, 63, 61, 57, 55, 52,
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50, 48, 44, 42, 39, 37, 34, 31, 29, 26,
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24, 21, 18, 16, 13, 11, 8, 6, 3, 2,
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0)
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QUALITY_SUM_GRAY = (
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16320,16315,15946,15277,14655,14073,13623,13230,12859,12560,
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12240,11861,11456,11081,10714,10360,10027, 9679, 9368, 9056,
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8680, 8331, 7995, 7668, 7376, 7084, 6823, 6562, 6345, 6125,
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5939, 5756, 5571, 5421, 5240, 5086, 4976, 4829, 4719, 4616,
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4463, 4393, 4280, 4166, 4092, 3980, 3909, 3835, 3755, 3688,
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3621, 3541, 3467, 3396, 3323, 3247, 3170, 3096, 3021, 2952,
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2874, 2804, 2727, 2657, 2583, 2509, 2437, 2362, 2290, 2211,
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2136, 2068, 1996, 1915, 1858, 1773, 1692, 1620, 1552, 1477,
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1398, 1326, 1251, 1179, 1109, 1031, 961, 884, 814, 736,
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667, 592, 518, 441, 369, 292, 221, 151, 86, 64,
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0)
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JPEG_NATURAL_ORDER = (
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0, 1, 8, 16, 9, 2, 3, 10,
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17, 24, 32, 25, 18, 11, 4, 5,
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12, 19, 26, 33, 40, 48, 41, 34,
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27, 20, 13, 6, 7, 14, 21, 28,
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35, 42, 49, 56, 57, 50, 43, 36,
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29, 22, 15, 23, 30, 37, 44, 51,
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58, 59, 52, 45, 38, 31, 39, 46,
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53, 60, 61, 54, 47, 55, 62, 63)
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class JpegChunkApp0(FieldSet):
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UNIT_NAME = {
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0: "pixels",
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1: "dots per inch",
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2: "dots per cm",
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}
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def createFields(self):
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yield String(self, "jfif", 5, "JFIF string", charset="ASCII")
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if self["jfif"].value != "JFIF\0":
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raise ParserError(
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"Stream doesn't look like JPEG chunk (wrong JFIF signature)")
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yield UInt8(self, "ver_maj", "Major version")
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yield UInt8(self, "ver_min", "Minor version")
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yield Enum(UInt8(self, "units", "Units"), self.UNIT_NAME)
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if self["units"].value == 0:
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yield UInt16(self, "aspect_x", "Aspect ratio (X)")
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yield UInt16(self, "aspect_y", "Aspect ratio (Y)")
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else:
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yield UInt16(self, "x_density", "X density")
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yield UInt16(self, "y_density", "Y density")
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yield UInt8(self, "thumb_w", "Thumbnail width")
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yield UInt8(self, "thumb_h", "Thumbnail height")
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thumb_size = self["thumb_w"].value * self["thumb_h"].value
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if thumb_size != 0:
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yield PaletteRGB(self, "thumb_palette", 256)
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yield RawBytes(self, "thumb_data", thumb_size, "Thumbnail data")
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class Ducky(FieldSet):
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BLOCK_TYPE = {
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0: "end",
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1: "Quality",
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2: "Comment",
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3: "Copyright",
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}
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def createFields(self):
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yield Enum(UInt16(self, "type"), self.BLOCK_TYPE)
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if self["type"].value == 0:
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return
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yield UInt16(self, "size")
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size = self["size"].value
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if size:
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yield RawBytes(self, "data", size)
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class APP12(FieldSet):
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"""
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The JPEG APP12 "Picture Info" segment was used by some older cameras, and
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contains ASCII-based meta information.
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"""
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def createFields(self):
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yield String(self, "ducky", 5, '"Ducky" string', charset="ASCII")
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while not self.eof:
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yield Ducky(self, "item[]")
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class StartOfFrame(FieldSet):
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def createFields(self):
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yield UInt8(self, "precision")
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yield UInt16(self, "height")
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yield UInt16(self, "width")
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yield UInt8(self, "nr_components")
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for index in range(self["nr_components"].value):
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yield UInt8(self, "component_id[]")
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yield UInt8(self, "high[]")
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yield UInt8(self, "low[]")
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class Comment(FieldSet):
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def createFields(self):
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yield String(self, "comment", self.size//8, strip="\0")
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class AdobeChunk(FieldSet):
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COLORSPACE_TRANSFORMATION = {
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1: "YCbCr (converted from RGB)",
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2: "YCCK (converted from CMYK)",
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}
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def createFields(self):
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if self.stream.readBytes(self.absolute_address, 5) != "Adobe":
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yield RawBytes(self, "raw", self.size//8, "Raw data")
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return
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yield String(self, "adobe", 5, "\"Adobe\" string", charset="ASCII")
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yield UInt16(self, "version", "DCT encoder version")
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yield Enum(Bit(self, "flag00"),
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{False: "Chop down or subsampling", True: "Blend"})
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yield NullBits(self, "flags0_reserved", 15)
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yield NullBytes(self, "flags1", 2)
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yield Enum(UInt8(self, "color_transform", "Colorspace transformation code"), self.COLORSPACE_TRANSFORMATION)
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class StartOfScan(FieldSet):
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def createFields(self):
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yield UInt8(self, "nr_components")
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for index in range(self["nr_components"].value):
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comp_id = UInt8(self, "component_id[]")
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yield comp_id
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if not(1 <= comp_id.value <= self["nr_components"].value):
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raise ParserError("JPEG error: Invalid component-id")
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yield UInt8(self, "value[]")
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yield RawBytes(self, "raw", 3) # TODO: What's this???
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class RestartInterval(FieldSet):
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def createFields(self):
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yield UInt16(self, "interval", "Restart interval")
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class QuantizationTable(FieldSet):
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def createFields(self):
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# Code based on function get_dqt() (jdmarker.c from libjpeg62)
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yield Bits(self, "is_16bit", 4)
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yield Bits(self, "index", 4)
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if self["index"].value >= 4:
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raise ParserError("Invalid quantification index (%s)" % self["index"].value)
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if self["is_16bit"].value:
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coeff_type = UInt16
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else:
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coeff_type = UInt8
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for index in xrange(64):
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natural = JPEG_NATURAL_ORDER[index]
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yield coeff_type(self, "coeff[%u]" % natural)
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def createDescription(self):
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return "Quantification table #%u" % self["index"].value
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class DefineQuantizationTable(FieldSet):
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def createFields(self):
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while self.current_size < self.size:
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yield QuantizationTable(self, "qt[]")
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class JpegChunk(FieldSet):
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TAG_SOI = 0xD8
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TAG_EOI = 0xD9
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TAG_SOS = 0xDA
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TAG_DQT = 0xDB
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TAG_DRI = 0xDD
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TAG_INFO = {
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0xC4: ("huffman[]", "Define Huffman Table (DHT)", None),
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0xD8: ("start_image", "Start of image (SOI)", None),
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0xD9: ("end_image", "End of image (EOI)", None),
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0xDA: ("start_scan", "Start Of Scan (SOS)", StartOfScan),
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0xDB: ("quantization[]", "Define Quantization Table (DQT)", DefineQuantizationTable),
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0xDC: ("nb_line", "Define number of Lines (DNL)", None),
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0xDD: ("restart_interval", "Define Restart Interval (DRI)", RestartInterval),
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0xE0: ("app0", "APP0", JpegChunkApp0),
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0xE1: ("exif", "Exif metadata", Exif),
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0xE2: ("icc", "ICC profile", None),
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0xEC: ("app12", "APP12", APP12),
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0xED: ("photoshop", "Photoshop", PhotoshopMetadata),
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0xEE: ("adobe", "Image encoding information for DCT filters (Adobe)", AdobeChunk),
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0xFE: ("comment[]", "Comment", Comment),
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}
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START_OF_FRAME = {
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0xC0: u"Baseline",
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0xC1: u"Extended sequential",
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0xC2: u"Progressive",
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0xC3: u"Lossless",
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0xC5: u"Differential sequential",
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0xC6: u"Differential progressive",
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0xC7: u"Differential lossless",
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0xC9: u"Extended sequential, arithmetic coding",
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0xCA: u"Progressive, arithmetic coding",
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0xCB: u"Lossless, arithmetic coding",
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0xCD: u"Differential sequential, arithmetic coding",
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0xCE: u"Differential progressive, arithmetic coding",
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0xCF: u"Differential lossless, arithmetic coding",
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}
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for key, text in START_OF_FRAME.iteritems():
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TAG_INFO[key] = ("start_frame", "Start of frame (%s)" % text.lower(), StartOfFrame)
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def __init__(self, parent, name, description=None):
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FieldSet.__init__(self, parent, name, description)
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tag = self["type"].value
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if tag == 0xE1:
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# Hack for Adobe extension: XAP metadata (as XML)
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bytes = self.stream.readBytes(self.absolute_address + 32, 6)
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if bytes == "Exif\0\0":
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self._name = "exif"
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self._description = "EXIF"
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self._parser = Exif
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else:
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self._parser = None
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elif tag in self.TAG_INFO:
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self._name, self._description, self._parser = self.TAG_INFO[tag]
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else:
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self._parser = None
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def createFields(self):
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yield textHandler(UInt8(self, "header", "Header"), hexadecimal)
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if self["header"].value != 0xFF:
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raise ParserError("JPEG: Invalid chunk header!")
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yield textHandler(UInt8(self, "type", "Type"), hexadecimal)
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tag = self["type"].value
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if tag in (self.TAG_SOI, self.TAG_EOI):
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return
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yield UInt16(self, "size", "Size")
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size = (self["size"].value - 2)
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if 0 < size:
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if self._parser:
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yield self._parser(self, "content", "Chunk content", size=size*8)
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else:
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yield RawBytes(self, "data", size, "Data")
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def createDescription(self):
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return "Chunk: %s" % self["type"].display
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class JpegFile(Parser):
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endian = BIG_ENDIAN
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PARSER_TAGS = {
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"id": "jpeg",
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"category": "image",
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"file_ext": ("jpg", "jpeg"),
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"mime": (u"image/jpeg",),
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"magic": (
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("\xFF\xD8\xFF\xE0", 0), # (Start Of Image, APP0)
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("\xFF\xD8\xFF\xE1", 0), # (Start Of Image, EXIF)
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("\xFF\xD8\xFF\xEE", 0), # (Start Of Image, Adobe)
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),
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"min_size": 22*8,
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"description": "JPEG picture",
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"subfile": "skip",
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}
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def validate(self):
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if self.stream.readBytes(0, 2) != "\xFF\xD8":
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return "Invalid file signature"
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try:
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for index, field in enumerate(self):
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||
|
|
chunk_type = field["type"].value
|
||
|
|
if chunk_type not in JpegChunk.TAG_INFO:
|
||
|
|
return "Unknown chunk type: 0x%02X (chunk #%s)" % (chunk_type, index)
|
||
|
|
if index == 2:
|
||
|
|
# Only check 3 fields
|
||
|
|
break
|
||
|
|
except HachoirError:
|
||
|
|
return "Unable to parse at least three chunks"
|
||
|
|
return True
|
||
|
|
|
||
|
|
def createFields(self):
|
||
|
|
while not self.eof:
|
||
|
|
chunk = JpegChunk(self, "chunk[]")
|
||
|
|
yield chunk
|
||
|
|
if chunk["type"].value == JpegChunk.TAG_SOS:
|
||
|
|
# TODO: Read JPEG image data...
|
||
|
|
break
|
||
|
|
|
||
|
|
# TODO: is it possible to handle piped input?
|
||
|
|
if self._size is None:
|
||
|
|
raise NotImplementedError
|
||
|
|
|
||
|
|
has_end = False
|
||
|
|
size = (self._size - self.current_size) // 8
|
||
|
|
if size:
|
||
|
|
if 2 < size \
|
||
|
|
and self.stream.readBytes(self._size - 16, 2) == "\xff\xd9":
|
||
|
|
has_end = True
|
||
|
|
size -= 2
|
||
|
|
yield RawBytes(self, "data", size, "JPEG data")
|
||
|
|
if has_end:
|
||
|
|
yield JpegChunk(self, "chunk[]")
|
||
|
|
|
||
|
|
def createDescription(self):
|
||
|
|
desc = "JPEG picture"
|
||
|
|
if "sof/content" in self:
|
||
|
|
header = self["sof/content"]
|
||
|
|
desc += ": %ux%u pixels" % (header["width"].value, header["height"].value)
|
||
|
|
return desc
|
||
|
|
|
||
|
|
def createContentSize(self):
|
||
|
|
if "end" in self:
|
||
|
|
return self["end"].absolute_address + self["end"].size
|
||
|
|
if "data" not in self:
|
||
|
|
return None
|
||
|
|
start = self["data"].absolute_address
|
||
|
|
end = self.stream.searchBytes("\xff\xd9", start, MAX_FILESIZE*8)
|
||
|
|
if end is not None:
|
||
|
|
return end + 16
|
||
|
|
return None
|
||
|
|
|