Alpha Trimmed Mean based JPEG Compression for an Objective Image Quality Enhancement of Noisy and Noise less Images
We can see that over the past few years, the number of people using internet and the amount of information that is being transmitted over the internet has grown to such a wide range. One of the best ways to reduce the image size is via image compression. In the compression of still image, JPEG is better when it comes to bandwidth conservation. In this paper, we discussed an innovative JPEG compression algorithm with alpha trimmed means based clustering. The proposed algorithm is expected to produce better results in terms of MSE, PSNR and number of bits transmitted, when compared to the standard algorithms. The proposed JPEG algorithm enhances the speed and reduces the number of encoded bits, thereby reducing the amount of memory required. The reassembled image after decompression is as similar as the input image.
