Improvement of the compression JPEG quality by a Pre-processing algorithm based on Denoising

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 remo e some details of the image and to reduce all possible noise. After filtering, the image is compressed with JPE. By discarding the noise, the compression ratio can be impro ed. This method was erified using 2 images. This techni ue can increase the ratio without significantly affecting the image uality. This process will ha e a great impact on storage and transmission.