Squashed JPEG Image Compression Via Sparse Matrix

To store and transmit digital images in least memory space and bandwidth image compression is needed. Image compression refers to the process of minimizing the image size by removing redundant data bits in a manner that quality of an image should not be degrade. Hence image compression reduces quantity of the image size without reducing its quality. In this paper it is being attempted to enhance the basic JPEG compression by reducing image size. The proposed technique is about amendment of the conventional run length coding for JPEG (Joint Photographic Experts Group) image compression by using the concept of sparse matrix. In this algorithm, the redundant data has been completely eliminated and hence leaving the quality of an image unaltered. The JPEG standard document specifies three steps: Discrete cosine transform, Quantization followed by Entropy coding. The proposed work aims at the enhancement of the third step which is Entropy coding.