Data Compression: The Complete Referenceviii • The second new chapter, Chapter 6, discusses video compression. The chapter opens with a general description of CRT operation and basic analog and digital video concepts. It continues with a general discussion of video compression, and it concludes with a description of MPEG-1 and H.261. • Audio compression is the topic of the third new chapter, Chapter 7. The first topic in this chapter is the properties of the human audible system and how they can be exploited to achieve lossy audio compression. A discussion of a few simple audio compression methods follows, and the chapter concludes with a description of the three audio layers of MPEG-1, including the very popular mp3 format. Other new material consists of the following: • Conditional image RLE (Section 1.4.2). • Scalar quantization (Section 1.6). • The QM coder used in JPEG, JPEG 2000, and JBIG is now included in Sec tion 2.16. • Context-tree weighting is discussed in Section 2.19. Its extension to lossless image compression is the topic of Section 4.24. • Section 3.4 discusses a sliding buffer method called repetition times. • The troublesome issue of patents is now also included (Section 3.25). • The relatively unknown Gray codes are discussed in Section 4.2.1, in connection with image compression. • Section 4.3 discusses intuitive methods for image compression, such as subs- pling and vector quantization. |
Contents
| 1 | |
| 13 | |
Statistical Methods 39 | 38 |
Dictionary Methods | 151 |
Image Compression | 221 |
Wavelet Methods | 457 |
Video Compression | 581 |
Audio Compression | 631 |
Other Methods 681 | 680 |
| 815 | |
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Common terms and phrases
AC coefficients algorithm arithmetic coding arithmetic encoder array assigned audio average bi-level images binary bitmap bitplane block bytes calculate characters codebook color column components compressed file compressed stream compression method compute contains context count data compression DC coefficient decoder decompressed denoted dictionary digits discrete wavelet transform entry example Exercise Figure filter followed four frame frequency function Golomb code Huffman codes image compression input stream integer iteration JBIG JBIG2 JPEG layer located log2 look-ahead buffer lossless lossy macroblock match matrix motion vectors MPEG neighbors node original image output stream parameter pixel values pixels pointer prediction prefix prefix code probability quadtree quantization reconstructed region result run length samples scan search buffer Section segment selected sequence shows signal SPIHT standard step string subband subsquare symbol Table token tree triangle unary code updated variable-size codes wavelet transform weighted zero