Title :
Design and simulation of Constant bit rate compressor using fuzzy logic
Author :
Meenakshi, K. ; Beena Bethel, G.N.
Author_Institution :
Dept. of E.C.E., G.R.I.E.T., Hyderabad, India
Abstract :
Digital camera needs fixed bit rate. In this paper image compression is done using slant transform exploiting the characteristics of Human Visual System (HVS). Normally JPEG compressors support variable bit error rate. The error rate range in this compressor is found to be around -50 to 50. The error rate is reduced to around -0.6 to 1 using fuzzy logic. The input parameters for fuzzy logic are obtained by encoding bit rate and bit error rate. By framing rules the adaptive gain in quantization matrix of compressor is adjusted so that a fixed bit rate is achieved at different quality factors.
Keywords :
data compression; error statistics; fuzzy logic; image coding; quantisation (signal); transforms; HVS; JPEG compressors; adaptive gain; bit error rate; constant bit rate compressor; digital camera; encoding; error rate range; fixed bit rate; fuzzy logic; human visual system; image compression; quality factors; quantization matrix; slant transform; Bit error rate; Fuzzy logic; Image coding; Q-factor; Redundancy; Transform coding; Transforms; Adaptive gain; Entropy coding; Fuzzy logic; HVS weighed matrix; Slant transform;
Conference_Titel :
Networks & Soft Computing (ICNSC), 2014 First International Conference on
Conference_Location :
Guntur
Print_ISBN :
978-1-4799-3485-0
DOI :
10.1109/CNSC.2014.6906697
