Improvement of the compression JPEG quality by a pre-processing algorithm based on denoising

Abstract

For communication and storage efficiency, image data should be substantially compressed. The compression ratio is limited by noise, which degrades the correlation between pixels. Noise can occur during image capture, transmission or processing, and may be dependent on or independent of image content. In this study, we use standard filters that permits to remove some details of the image and to reduce all possible noise. After filtering, the image is compressed with JPEG. By discarding the noise, the compression ratio can be improved. This method was verified using 2 images. This technique can increase the ratio without significantly affecting the image quality. This process has a great impact on storage and transmission.