Title :
Variable Length Coding for Fixed Rate, Low Latency, Low Complexity Compression Applications
Author_Institution :
Sigma Designs Inc., Burlington
Abstract :
In order to maximize coding efficiency the coding algorithm must ensure the probability of encoding a sequence of n quantized symbols at a rate smaller than R is maximized (i.e. there is no need to increase the quantization step size). This optimization problem is different from the one solved by algorithms like Huffman coding in which it is assumed that a large sequence of symbols are being coded. We proposed a new coding algorithm that solves the above optimization problem.
Keywords :
data compression; image coding; variable length codes; Huffman coding; image compression; low complexity compression applications; variable length coding; Algorithm design and analysis; Bit rate; Compression algorithms; Data compression; Delay; Image coding; Image processing; Partial response channels; Process design; Quantization; Variable length coding; fixed rate; low latency compression;
Conference_Titel :
Data Compression Conference, 2008. DCC 2008
Conference_Location :
Snowbird, UT
Print_ISBN :
978-0-7695-3121-2
DOI :
10.1109/DCC.2008.51