he need of lossless pressure methods is required in numerous applications such in restorative information there were no loss of data. Lossless pressure lessens extra room without corrupting picture and time required for computational will likewise diminish. The Lossless picture pressure calculation for various application like therapeutic picture, Lossless interframe coding for X-ray picture, Ultersounsd picture, Capsule Endoscopy (CE) picture [11]. The various systems that are utilized in lossless pressure are Huffman coding, Shanan Fano Coding, Run Length Coding, Arithmatic Coding, Golomb Coding and Symbol-base Coding. Word reference Algorithm, for example, LWZ, Area Coding, Bit plane Coding, Byte Pair Coding, Lossless Predictive Coding, Predictive Partial Matching act [12]. B LOSSY COMPRESSION TECHNIQUE The lossy pressure strategies give the high pressure proportion then lossless, however the loss of information when contrasted with lossless pressure. Lossy pressure comprises of three sections. The first is a change which gives a high pressure proportion, the subsequent part is quantization, which is decreased an image of bit speak to the picture, gives key issue which recognizes lossy or lossless pressure techniques. Toward the end utilized pressure of entropy encoding [13]. Figure 2: Example of Lossy Compression Technique III. DISCRETE COSINE TRANSFROM Discrete cosine change generally reasonable for medicinal picture pressure. A discrete cosine change (DCT) is an arrangement of limited information point in term of the whole by cosine work at various frequencies [14]. The two dimensional DCT is the quintessence of most well known lossy advanced pressure framework today [15].>