Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
DCT-based subpixel motion estimation
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Video Compression and Communications: From Basics to H.261, H.263, H.264, MPEG4 for DVB and HSDPA-Style Adaptive Turbo-Transceivers
IEEE Transactions on Image Processing
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Motion estimation is one of the most important steps in video compression algorithms. It reduces temporal redundancy present in frame sequences and allows a better compression of video material. Most of the actual video compression algorithms use "block matching" methods which operate on the bitmap form of the frames. Because real motion in video frames is not carried out over integer pixels, sub-pixel motion estimation is performed for improving the quality of the compression. Also, most of the video compression algorithms use discrete cosine transform for coding the residual frame information (in the motion compensation step). For this reason, motion estimation algorithms which operate directly in discrete cosine transform domain are of great interest. This paper presents a method for computing the values of DCT coefficients of a block of pixels positioned on certain coordinates over four adjacent blocks using only the DCT coefficients of these four blocks. Also, an equivalent of the full-search algorithm translated in 2D-DCT domain is presented.