Improving wavelet-based image compression using self-adaptive binary artificial bee colony algorithm
Maytham Alabbas, Abdulkareem H. Abdulkareem, Mustafa Radif · AIP conference proceedings · 2023
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.