Title :
Distribution-based restoration of DCT coefficients
Author_Institution :
Texas Tech. Univ., Lubbock, TX, USA
fDate :
8/1/2000 12:00:00 AM
Abstract :
Although it is established that the distribution of the discrete cosine transform coefficients can be modeled, it is not known how this knowledge can best be applied to improve the JPEG compression algorithms. We studied this problem by making modifications to both the JPEG baseline encoder and decoder separately. Experimental results show that modifications to the decoder alone do not reduce any compression losses. However, if the encoder is also modified, the losses can be reduced, but only marginally
Keywords :
data compression; decoding; discrete cosine transforms; image coding; image restoration; quantisation (signal); statistical analysis; transform coding; DCT coefficients; JPEG baseline decoder; JPEG baseline encoder; JPEG compression algorithms; JPEG standard; compression losses reduction; discrete cosine transform coefficients; distribution-based restoration; experimental results; image compression; quantization losses; Compression algorithms; Decoding; Discrete cosine transforms; Distributed computing; Frequency; Image coding; Image restoration; Laplace equations; Quantization; Transform coding;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
