JPEG compression and decompression for color images using lattice based structures

Abstract

Digital color images are compressed using common standards such as JPEG. The compression technique is used in various applications such as imaging and equalization of channels. But the decompression technique is not having enough sources to handle various problems. The process of sampling and sub sampling is done by both compression and decompression. In this paper the images with color planes (3-D) is used and its coefficient is taken for compression with discrete cosine transform of quantization technique. The settings for color plane with JPEG is chosen for an image(1)the color space (2)sampling and sub sampling(3)quantization technique. Here JPEG Compression history settings are used for an image with JPEG operation. The features like smoothness and lattice structures are taken for images to find and develop the solution of JPEG decompression which uses JPEG compression history estimation. Here the method used for JPEG compression and decompression which denotes the above point is effective and equalize the give color images. © 2012 Springer-Verlag.