Scalable resolution-based image coding algorithm

Currently, multimedia data has become increasingly more important with the growth of the Internet. Images are one example of sharing across the internet, especially through social media applications. More specifically, nearly every website consists of a considerable amount of image data. Some pictures are stored in multiple resolutions to be displayed as desired. When the same image is stored in different resolutions, it is difficult to manage. This paper presents an algorithm for image coding in scalable resolution. The proposed method consists of an intra-prediction and reversible cellular automata. Intra-predication aims to reduce the data to be compressed and reversible cellular automata allows image data to increase or decrease to the desired resolution. For the performance evaluation, an 8-bit grayscale was experimented with using the proposed method and then compared with JPEG2000 and RCAGIC using PSNR and SSIM statistics. In this regard, the proposed method provides more promising results than RCAGIC and JPEG2000.