DocumentCode
293596
Title
Constrained gradient descent algorithm for residual vector quantizer design
Author
Venkatraman, Mahesh ; Nasrabadi, Nasser M.
Author_Institution
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Volume
1
fYear
1994
fDate
13-16 Nov 1994
Firstpage
124
Abstract
Residual vector quantizers have been proposed to overcome the search complexity of regular single stage vector quantizers. We present a design algorithm for residual vector quantizer codebooks. An attempt is made to make full use of the sequential search nature of the encoding process. An error energy is formulated based on the distortion criterion with a constraint imposed to optimize for the sequential search. The codebook design is formulated as multidimensional minimization problem, where the error energy is minimized to obtain the required codebooks. The proposed algorithm is based on the gradient descent algorithm
Keywords
image coding; minimisation; search problems; vector quantisation; codebook design; constrained gradient descent algorithm; design algorithm; distortion criterion; encoding; error energy; image compression; multidimensional minimization problem; residual vector quantizer codebooks; residual vector quantizer design; search complexity; sequential search; Algorithm design and analysis; Bit rate; Constraint optimization; Design methodology; Encoding; Image coding; Multidimensional systems; Partitioning algorithms; Table lookup; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413288
Filename
413288
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