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

fYear

2014

fDate

19-20 Aug. 2014

Firstpage

309

Lastpage

313

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks & Soft Computing (ICNSC), 2014 First International Conference on

Conference_Location

Guntur

Print_ISBN

978-1-4799-3485-0

Type

conf

DOI

10.1109/CNSC.2014.6906697

Filename

6906697