Image compression research has increased significantly because of increasing demands for image transmission in computer and mobile environments. When calculating the amount of bits per image from conventional quantization methods and sampling rates, image compression is required. As a result, it has become necessary to develop efficient image compression techniques. Color images are in trend these days during communication. Most of the researchers have worked only on grayscale image compression. Colored image channels have been handled exclusively for many years, or color image is transformed into grayscale image. Improvements have been made to image compression algorithms SVD and DCT. In this paper, seven standard images have been used for compression using DCT and SVD, individually for experimental purposes. The performance of the model is measure on the basis of various performance matrices like Peak Signal to Noise Ratio, Mean Square Error, Normalized Co-relation (NC), Volumetric Efficiency, and percent space savings