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The result is a signal with considerably less content, one that would fit within existing 6 MHz black-and-white signals as a phase modulated differential signal. The average TV displays the equivalent of 350 pixels on a line, but the TV signal contains enough information for only about 50 pixels
154:. The remaining information can then be compressed via a variety of methods. When the output is decoded, the result may not be identical to the original input, but is expected to be close enough for the purpose of the application.
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showed that the human eye has high resolution only for black and white, somewhat less for "mid-range" colors like yellows and greens, and much less for colors on the end of the spectrum, reds and blues.
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to develop a system in which they discarded most of the blue signal after it comes from the camera, keeping most of the green and only some of the red; this is
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of blue and perhaps 150 of red. This is not apparent to the viewer in most cases, as the eye makes little use of the "missing" information anyway.
352:
Muchahary, D.; Mondal, A. J.; Parmar, R. S.; Borah, A. D.; Majumder, A. (2015). "A Simplified Design
Approach for Efficient Computation of DCT".
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The PAL and SECAM systems use nearly identical or very similar methods to transmit colour. In any case both systems are subsampled.
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in 1974. This DCT, in the context of the family of discrete cosine transforms, is the DCT-II. It is the basis for the common
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In transform coding, knowledge of the application is used to choose information to discard, thereby lowering its
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One of the most successful transform encoding system is typically not referred to as such—the example being
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that describes the human ear's sensitivity to parts of the signal, similar to the TV model.
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standards modify this DCT image compression technique across frames in a motion image using
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2015 Fifth
International Conference on Communication Systems and Network Technologies
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standard, which examines small blocks of the image and transforms them to the
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496:; Natarajan, T.; Rao, K. R. (January 1974), "Discrete Cosine Transform",
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232:. The most widely used transform coding technique in this regard is the
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462:"Reminiscences of the Early Work in DCT: Interview with K.R. Rao"
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an analog signal is a kind of transform coding that uses
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in 1972, and presented by Ahmed with T. Natarajan and
181:. After an extensive series of studies in the 1950s,
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49:. Unsourced material may be challenged and removed.
561:"The Use of FFT and MDCT in MP3 Audio Compression"
429:"How I Came Up With the Discrete Cosine Transform"
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460:Stanković, Radomir S.; Astola, Jaakko T. (2012).
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290:uses a hybrid coding algorithm, combining the
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255:for more efficient quantization (lossy) and
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313:in one or more domains as its transform.
109:Learn how and when to remove this message
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224:The term is much more commonly used in
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47:adding citations to reliable sources
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396:The Electrical Engineering Handbook
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292:modified discrete cosine transform
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604:from the original on 2017-02-13.
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590:Brandenburg, Karlheinz (1999).
34:needs additional citations for
498:IEEE Transactions on Computers
386:
1:
559:Guckert, John (Spring 2012).
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189:Using this knowledge allowed
1844:Lossy compression algorithms
447:10.1016/1051-2004(91)90086-Z
7:
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298:(FFT). It was succeeded by
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1689:Compressed data structures
1011:RLE + BWT + MTF + Huffman
679:Asymmetric numeral systems
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978:LZ77 + Huffman + context
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434:Digital Signal Processing
328:Transformation (function)
234:discrete cosine transform
230:digital signal processing
1753:Smallest grammar problem
128:for "natural" data like
1694:Compressed suffix array
1243:Nyquist–Shannon theorem
592:"MP3 and AAC Explained"
510:10.1109/T-C.1974.223784
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393:Chen, Wai Kai (2004).
323:Karhunen–Loève theorem
296:fast Fourier transform
1723:Kolmogorov complexity
1591:Video characteristics
968:LZ77 + Huffman + ANS
362:10.1109/CSNT.2015.134
305:The basic process of
300:Advanced Audio Coding
162:Further information:
1813:Compression software
1407:Compression artifact
1363:Psychoacoustic model
356:. pp. 483–487.
284:psychoacoustic model
43:improve this article
1803:Compression formats
1442:Texture compression
1437:Standard test image
1253:Silence compression
273:motion compensation
236:(DCT), proposed by
1711:Information theory
1566:Display resolution
1392:Chroma subsampling
781:Byte pair encoding
726:Shannon–Fano–Elias
569:University of Utah
195:chroma subsampling
58:"Transform coding"
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1625:Deblocking filter
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333:Wavelet transform
249:image compression
158:Colour television
145:lossy compression
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122:Transform coding
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20:
1769:Hutter Prize
1733:Quantization
1638:Compensation
1432:Quantization
1155:Compensation
1039:
721:Shannon–Fano
661:Entropy type
585:
573:. Retrieved
567:
554:
542:. Retrieved
525:
504:(1): 90–93,
501:
497:
494:Ahmed, Nasir
488:
476:. Retrieved
472:
468:
455:
438:
432:
425:Ahmed, Nasir
419:
395:
388:
353:
347:
304:
280:audio coding
277:
261:video coding
223:
215:
206:
188:
183:Alda Bedford
172:
149:
141:quantization
121:
120:
105:
96:
86:
79:
72:
65:
53:
41:Please help
36:verification
33:
1728:Prefix code
1581:Frame types
1402:Color space
1228:Convolution
958:LZ77 + ANS
869:Incremental
842:Other types
761:Levenshtein
294:(MDCT) and
238:Nasir Ahmed
202:color space
1833:Categories
1785:Mark Adler
1743:Redundancy
1660:Daubechies
1643:Estimation
1576:Frame rate
1498:Daubechies
1458:Chain code
1417:Macroblock
1223:Companding
1160:Estimation
1080:Daubechies
786:Lempel–Ziv
746:Exp-Golomb
674:Arithmetic
478:13 October
441:(1): 4–5.
339:References
307:digitizing
179:television
69:newspapers
1762:Community
1586:Interlace
972:Zstandard
751:Fibonacci
741:Universal
699:Canonical
518:149806273
242:K. R. Rao
152:bandwidth
1748:Symmetry
1716:Timeline
1699:FM-index
1544:Bit rate
1537:Concepts
1385:Concepts
1248:Sampling
1201:Bit rate
1194:Concepts
896:Sequitur
731:Tunstall
704:Modified
694:Adaptive
652:Lossless
599:Archived
401:Elsevier
380:16411333
317:See also
311:sampling
1706:Entropy
1655:Wavelet
1634:Motion
1493:Wavelet
1473:Fractal
1468:Deflate
1451:Methods
1238:Latency
1151:Motion
1075:Wavelet
992:LHA/LZH
942:Deflate
891:Re-Pair
886:Grammar
716:Shannon
689:Huffman
645:methods
575:14 July
544:12 July
220:Digital
197:in the
133:signals
83:scholar
1817:codecs
1778:People
1681:Theory
1648:Vector
1165:Vector
982:Brotli
932:Hybrid
831:Snappy
684:Golomb
516:
407:
378:
368:
263:, the
177:color
137:images
85:
78:
71:
64:
56:
1608:parts
1606:Codec
1571:Frame
1529:Video
1513:SPIHT
1422:Pixel
1377:Image
1331:ACELP
1302:ADPCM
1292:ÎĽ-law
1287:A-law
1280:parts
1278:Codec
1186:Audio
1125:ACELP
1113:ADPCM
1090:SPIHT
1031:Lossy
1015:bzip2
1006:LZHAM
962:LZFSE
864:Delta
756:Gamma
736:Unary
711:Range
602:(PDF)
595:(PDF)
564:(PDF)
538:CCITT
534:(PDF)
514:S2CID
465:(PDF)
376:S2CID
265:H.26x
259:. In
130:audio
90:JSTOR
76:books
1620:DPCM
1427:PSNR
1358:MDCT
1351:WLPC
1336:CELP
1297:DPCM
1145:WLPC
1130:CELP
1108:DPCM
1058:MDCT
1002:LZMA
903:LDCT
881:DPCM
826:LZWL
816:LZSS
811:LZRW
801:LZJB
577:2019
546:2019
502:C-23
480:2019
405:ISBN
366:ISBN
269:MPEG
267:and
246:JPEG
228:and
175:NTSC
169:NTSC
62:news
1665:DWT
1615:DCT
1559:VBR
1554:CBR
1549:ABR
1508:EZW
1503:DWT
1488:RLE
1478:KLT
1463:DCT
1346:LSP
1341:LAR
1326:LPC
1319:FFT
1216:VBR
1211:CBR
1206:ABR
1140:LSP
1135:LAR
1120:LPC
1085:DWT
1070:FFT
1065:DST
1053:DCT
952:LZS
947:LZX
923:RLE
918:PPM
913:PAQ
908:MTF
876:DMC
854:CTW
849:BWT
821:LZW
806:LZO
796:LZ4
791:842
506:doi
443:doi
358:doi
288:MP3
278:In
199:YIQ
191:RCA
164:YIQ
147:).
45:by
1835::
1483:LP
1314:FT
1307:DM
859:CM
597:.
566:.
536:.
512:,
500:,
473:60
471:.
467:.
437:.
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399:.
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204:.
1819:)
1815:(
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