Generation of JPEG quantization table using real coded quantum genetic algorithm
B. Vinoth Kumar, G. R. Karpagam, Sathya Naresh · 2016
JPEG is widely accepted standard for image compression. JPEG image compression makes use of quantization table to control the compression ratio and quality of compressed image. Hence, generation of quantization table for the JPEG baseline algorithm is viewed as an optimization problem. For the past few decades, methods used for determining the quantization table have been based on Rate-distortion approach, Human Visual System approach and Meta-Heuristics approach. Even though recent reports suggest that Genetic Algorithm (GA) is a promising algorithm to generate the optimal quantization table, it often gets stuck in local minima. In this paper, the new meta-heuristic approach called Real Coded Quantum Genetic Algorithm (RCQGA) is used to generate optimized quantization table for the JPEG baseline algorithm.