THREE DIFFERENT KG VERSION FOR IMAGE COMPRESSION

The need for an efficient technique for compression of Images ever increasing because the original images need large amounts of disk space seems to be a big disadvantage during transmission & storage. Even though there are so many compression technique already present a better technique which is faster, memory efficient and simple which surely suits the requirements of the user. This paper have three version of KG technique which named as KGI, KG2 and KG3. These technique are very useful in image compression but all have different way to compress image. Compression ratio of image are also different in these three version and better to each other which depends upon what types of image chosen for compression. For version 1: This technique named KGI version. The technique used here, is much more helpful in reducing the bandwidth of an image and to speed up of its availability, reliability, and transmission rates. For version 2: This technique named KG2 version. The technique used here is extremely helpful in reducing data storage and transformation without any loss in an image. In this technique, an image compression domain algorithm aims at high performance in terms of image effectiveness. For version 3: This technique named KG3 version. In this paper we proposed the Lossless method of image compression and decompression. This technique is simple in implementation and utilizes less memory. A software algorithm has been developed and implemented to compress and decompress the image.