Performance Augmentation of Cuckoo Search Optimization Technique Using Vector Quantization in Image Compression

For constructing the best local codebook for image compression, there are many Vector Quantization (VQ) procedures, but simplest VQ procedure is Linde–Buzo–Gray (LBG) procedure. Techniques such as Gaussian Dissemination Function (GDF) used searching process in generating a global particle swarm optimization (PSO), Honeybee mating (HBMO), and Firefly (FA) procedures. However, when velocity very high, FA encounters problem brighter fireflies trivial, PSO suffers uncertainty merging. A novel procedure, Cuckoo Search–Kekre Fast Codebook Generation (CS-KFCG), proposed that enhances Search–Linde–Buzo–Gray (CS-LBG) by implementing Flight (FDF), which produces more speed than other states of art algorithms with appropriate mutation expectations overall codebook. Also, CS-KFGC has generated high Peak Signal Noise Ratio (PSNR) terms duration (time) better acceptability rate.