The effect of using minimum decreasing technique on enhancing the quality of lossy compressed images

With the wide use of social media platforms, the critical matter is to reduce the image size while maintaining the image quality to achieve faster transfer speeds over the networks and save space on storage devices. The compression techniques are categorized into lossless and lossy. Lossless techniques produced high-quality compressed images with no loss of any part of the images, but it has low performance compared to the lossy technique with high distortion rates. This paper studies the effects of applying the Minimum Decreasing Technique (MDT) over a set of lossy compression techniques and evaluates the impact on the image quality and size. This was achieved by applying specific steps that decrease the minimum pixel values from the pixel values inside the image. We implemented the MDT technique first before using the lossy ones on several images wildly used in the image processing field. The results were obtained based on quality standard metrics (MSE, MAE, PSNR, and CR). The MDT technique managed to keep the image quality as is without increasing or decreasing in the metrics when used with the lossy techniques, whether alone or hybrid; it also managed to reduce the compression ratio due to the MDT mechanism, which depends on the other arrays included with the compressed image. Moreover, the results showed the highest compression ratio obtained by the proposed technique with 2–8% impartments compared to the other single or hybrid methods.