Title :
Adaptive Quantization for Matching Pursuit
Author :
Shoa, Alireza ; Shirani, Shahram
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.
Abstract :
We propose an adaptive quantization scheme for matching pursuit. Different quantizers are used in different matching pursuit (MP) stages based on the probability distribution of MP coefficients. The quantizers are optimized for a given rate budget constraint. Additionally, our proposed adaptive quantization scheme finds the optimal quantizers for each stage based on the information known to both encoder and decoder. Our quantization scheme outperforms existing MP encoders
Keywords :
data compression; decoding; image coding; image matching; iterative methods; probability; time-frequency analysis; MP coefficients; adaptive quantization scheme; decoder; encoder; matching pursuit; probability distribution; rate budget constraint; Bit rate; Constraint optimization; Decoding; Dictionaries; Discrete cosine transforms; Encoding; Greedy algorithms; Matching pursuit algorithms; Probability distribution; Quantization;
Conference_Titel :
Multimedia Signal Processing, 2006 IEEE 8th Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-9751-7
Electronic_ISBN :
0-7803-9752-5
DOI :
10.1109/MMSP.2006.285271
