A novel framework for JPEG image compression using baseline coding with parallel process

Digital image communication is being used in many areas like Remote sensing, Weather forecast, Medical image Satellite applications. Data transformation of images in network is a difficult task because of their size and requirement of image quality. To fulfill this requirement several researchers proposed different Compression and Decompression Techniques, still they required further exploration. In this paper, we proposed Parallel Processing Technique (PPT) in Joint Photographic Experts Group (JPEG) compression using Discrete Cosine Transform (DCT). The main goal of this proposed method is to reduce the storage space, execution time and effective utilization of bandwidth. Experiments are performed on benchmark Red-Green-Blue (RGB) images. We performed time calculations for Encoder, Decoder and also evaluated Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) and Compression Ratio (CR) values.