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Optimal Lossless Data Compression Methodology

Image compression is an extremely important technique given that the need for image storage is significantly increasing nowadays. The image contains data in the visual form; thus, data comprehension can be done easily. Since working on an image in a frequency domain is a lot more feasible, discrete cosine transform is one of the best possible way as it can represent the image in its elementary frequency components. As it is lossless image compression, quality of recovered image after compression is brilliant. This form of compression is much useful in research field, military and navigation as image quality plays a major role. This work emphasizes on optimal lossless image compression using Discrete Cosine Transform on RGB images. From the compression technique, it is shown that image can be stored in minimum amount of space. Image quality metrics such as PSNR, MSE and CR are briefly deliberated.