Title :
Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images
Author_Institution :
Centre National d´´Etudes Spatiales, France
fDate :
8/1/1979 12:00:00 AM
Abstract :
An adaptive coding for singular value decomposition (SVD) samples is described in order to reduce the amount of transmitted data for monochrome images. This method is compared to the discrete cosine transform in terms of mean square error. Low bit rates, as 0.8 bits/pixel, are attempted with a good visual quality and low RMS error (0.087%). The visual and mathematical results of the transmission errors are shown and given.
Keywords :
Adaptive coding; Image coding; Transform coding; Adaptive coding; Bit rate; Computer errors; Discrete cosine transforms; Discrete transforms; Entropy; Image coding; Mean square error methods; Satellites; Singular value decomposition;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOM.1979.1094538
