A Novel Lossless Image Compression Algorithm for Optimized Memory Storage

Data compression is a specific and special task that goes on and on as more and more data is required to be stored in the memory. For memory usage, it is always “smaller is better”. But, of course, there is always a threshold limit which may never be broken. Saving a graphical file is always challenging task as whenever we try to compress it, there is a possibility of loss of data whether in terms of colour or in terms of sharpness. The study (algorithm) presented in this paper is a methodical formation where the size of a graphical file has been cut to half without any type of loss of information. Neither the sharpness nor the colour gets affected. Through the paper, a novel algorithm has been developed which compresses an image file to half its previous size. The best part is that the complexity of algorithm is comparatively low for compressing as well as de-compressing (re-generation) purpose.