A spatial image compression algorithm based on run length encoding

Image compression is vital for many areas such as communication and storage of data that rapidly growing nowadays. In this paper, a spatial lossy algorithm gray scale images presented. It exploits the inter-pixel psycho-visual redundancies in images. The proposed technique finds paths connected pixels fluctuate value within some small threshold. path calculated by looking at 4-neighbors pixel then choosing best one based on two conditions; first selected must not be included another second difference between specified threshold value. A starts with given consists locations subsequently pixels. Run-length encoding scheme applied to harvest redundancy. After applying several test images, promising quality vs. ratio results have been achieved.