Improving wavelet-based image compression using self-adaptive binary artificial bee colony algorithm Available to Purchase

Nowadays, image compression has become necessary in different fields such as medicine, information technology, business, and others due to the significant increase in high-resolution images. This increased the storage space needed for these images that require techniques to reduce their sizes while maintaining their quality. The current work uses a self-adaptive binary artificial bee colony algorithm to estimate suitable compression parameters for the wavelet-based image compression scheme considering compression ratio and the reconstructed image quality. The experimental results show that the current technique can obtain satisfactory reconstructed images with a high compress ratio compared with the genetic algorithm on grayscale and truecolor images.