Image and Video Processing in the Compressed Domain by Jayanta Mukhopadhyay

By Jayanta Mukhopadhyay

As extra pictures and video clips have gotten on hand in compressed codecs, researchers have began designing algorithms for various snapshot operations without delay of their domain names of illustration, resulting in speedier computation and decrease buffer necessities. Image and Video Processing within the Compressed Domain offers the basics, homes, and functions of various picture transforms utilized in snapshot and video compression. It illustrates the advance of algorithms for processing photographs and video clips within the compressed domain.

Developing strategies from first rules, the publication introduces renowned picture and video compression algorithms, specifically JPEG, JPEG2000, MPEG-2, MPEG-4, and H.264 criteria. It additionally explores compressed area research and function metrics for evaluating algorithms. the writer then elucidates the definitions and homes of the discrete Fourier rework (DFT), discrete cosine remodel (DCT), integer cosine rework (ICT), and discrete wavelet rework (DWT). within the next chapters, the writer discusses center operations, resembling picture filtering, colour enhancement, photograph resizing, and transcoding of pictures and movies, which are utilized in a variety of photograph and video research techniques. He additionally specializes in different features of compressed area research, together with video modifying operations, video indexing, and photo and video steganography and watermarking.

With MATLAB® codes on an accompanying CD-ROM, this ebook takes you thru the stairs fascinated about processing and reading compressed video clips and pictures. It covers the algorithms, criteria, and strategies used for coding photographs and video clips in compressed codecs.

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Slice: One or more contiguous macroblocks define a slice. In a slice, macroblocks are ordered from left to right and top to bottom. Slices are used for handling of errors. If an error is reported for a slice, a decoder may skip the erroneous part and goes to the start of the next slice. 5. Macroblock: Like still image coding, the basic coding unit in the MPEG algorithm is also a macroblock. It is a 16 × 16 pixel segment in a frame. 16). 6. Block: A block is the smallest coding unit in the MPEG-2 algorithm.

Motion vectors may also be estimated from multiple reference images coded previously. In addition to the motion-compensated MB modes described earlier, a P macroblock may also be coded in the skip mode ( P Skip type). In this mode the MB is simply copied from its previously coded frame. 264 the concept of B slices is further generalized in comparison with the usual compression algorithm. In this case, B slices use two distinct lists of reference pictures. They are referred to as the first list0 and the second list1 reference picture lists, respectively.

16).    a a a a a    b c −c −b  [X]  a Y = AXAT =   a −a −a  a a  c −b b −c a where a = 12 , b = 1 π 2 cos( 8 ), c = © 2011 by Taylor and Francis Group, LLC 1 3π 2 cos( 8 ). 16) Image and Video Compression: An Overview 39 We may modify the matrix A in such a way that it consists of integer values only, though its orthogonal property remains intact. This is what is done with the matrix T4 in Eq. 17). In this case, the 2nd and 4th rows of matrix T4 , and the 2nd and 4th columns of matrix T4T are scaled by a factor of 2, and the postscaling matrix E is scaled down for compensation.

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