By Salomon
ISBN-10: 0387406972
ISBN-13: 9780387406978
Info compression is among the most crucial fields and instruments in smooth computing. From archiving facts, to CD ROMs, and from coding idea to photograph research, many features of contemporary computing rely on info compression. information Compression presents a entire reference for the various differing kinds and techniques of compression. integrated are a close and beneficial taxonomy, research of commonest equipment, and discussions at the use and comparative merits of equipment and outline of "how to" use them. The presentation is geared up into the most branches of the sector of knowledge compression: run size encoding, statistical equipment, dictionary-based tools, photo compression, audio compression, and video compression. specified descriptions and factors of the main recognized and regularly used compression tools are coated in a self-contained style, with an available sort and technical point for experts and nonspecialists. themes and lines: assurance of video compression, together with MPEG-1 and H.261; thorough insurance of wavelets equipment, together with CWT, DWT, EZW and the hot Lifting Scheme method; whole audio compression; QM coder utilized in JPEG and JBIG, together with new JPEG 2 hundred typical; photo alterations and specific assurance of discrete cosine rework and Haar rework; insurance of EIDAC technique for compressing easy photos; prefix snapshot compression; ACB and FHM curve compression; geometric compression and edgebreaker technique.Data Compression presents a useful reference and consultant for all computing device scientists, machine engineers, electric engineers, signal/image processing engineers and different scientists wanting a finished compilation for a wide variety of compression equipment.
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Extra info for Data Compression: The Complete Reference, 3E
Example text
11 lists a small part of the results obtained by counting this way several training images with 4-bit pixels. 10: Neighbors Used To Predict X . 11: Conditional Counting of 4-Bit Pixels. W7 1 1 15 12 6 8 0 6 7 18 1 13 ... ... ... ... ... ... ... 4 RLE Image Compression 31 Each pixel in the image to be compressed is assigned a new four-bit code depending on its conditional probability as indicated by the table. Imagine a current pixel X with value 1 whose neighbors have values A = 3, B = 1.
This way, a run can be up to 256 pixels long. 2. In color images it is common to have each pixel stored as three bytes, representing the intensities of the red, green, and blue components of the pixel. In such a case, runs of each color should be encoded separately. Thus the pixels (171, 85, 34), (172, 85, 35), (172, 85, 30), and (173, 85, 33) should be separated into the three sequences (171, 172, 172, 173, . ), (85, 85, 85, 85, . ), and (34, 35, 30, 33, . ). Each sequence should be run-length encoded separately.
We may adopt the convention that a repeat count of 0 means three repeat characters. This implies that a repeat count of 255 means a run of 258 identical characters. The MNP class 5 method is commonly used for data compression by modems. , a maker of modems (MNP stands for Microcom Network Protocol) and it uses a combination of run length and adaptive frequency 22 1. Basic Techniques Char. count C:=0 Repeat count R:=0 Start Read next character, CH 1 eof? Yes Stop No C:=C+1 C=1? 1 Yes SC:=save CH No 1 Yes R:=R+1 SC=CH No R<4 Write SC on output file R times Yes No R:=0 SC:=Save CH goto 1.
Data Compression: The Complete Reference, 3E by Salomon
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