Harmony search algorithm with dynamic pitch adjustment rate and fret width for image compression

the rapid growth of image capturing technology has generated the digital images, which have high resolution and large size. In general, the large sized image quality is better because it has higher color intensity, but data transmission is relatively slow or even failing. Image compression can improve the efficiency of storage space and transmission bandwidth usage. However, the image compression, which is categorized as lossy can reduce image quality. This paper implements improved harmony search (HS) algorithm for compression of color images by minimizing the reduction in image quality. The parameters of original HS algorithms including pitch adjustment rate (PAR) and fret width (FW) are fixed, whereas in improved HS algorithm, PAR and FW changed dynamically in accordance with the generation of solution vectors. Experimental results show color image compression using improved HS algorithm is better than original HS algorithm and other method.