Design and simulation of Constant bit rate compressor using fuzzy logic

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.