Image Compression Algorithms under JPEG with Lapped Orthogonal Transform and Discrete Cosine Transformation

This Paper Focus On Image Compression.It is used specially for the compression of images where tolerable degradation is required. With the wide use of computers and consequently need for large scale storage and transmission of data, efficient ways of storing of data have become necessary. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages.JPEG and JPEG 2000 are two important techniques used for image compression.JPEG image compression standard use dct (discrete cosine transform). Now here Lapped Orthogonal Transform and Discrete Cosine Transformation are using with JPEG 2000 standard. The discrete cosine transform is a fast transform. It is a widely used and robust method for image compression. It has excellent compaction for highly correlated data.DCT has fixed basis images DCT gives good compromise between information packing ability and computational complexity