Image Compression using Orthogonal Ramanujan Wavelet Transform

In this paper, an image compression algorithm based on the Orthogonal Ramanujan Sums (ORS) is presented. The proposed algorithm is novel in that it combines ORS-based Discrete Wavelet Transform (DWT) with the well-known JPEG image compression technique. The software implementation of the algorithm is done using Python. The results are compared against the standard JPEG compression technique and it is observed that at similar compression ratios, the proposed algorithm achieves upto 69.88% lower MSE, 24.2% higher PSNR and 27.3% higher SSIM compared to JPEG, which makes it a potential candidate for applications where preserving the quality of the images is important.