A Review: Modified Remove Redundancy Technique of Lossless Image Compression

Abstract: Image compression is process to remove the redundant information from the image so that only essential information can be stored to reduce the storage size, transmission bandwidth and transmission time. The essential information is extracted by various transforms techniques such that it can be reconstructed without losing quality and information of the image. The purpose of image compression is the original large image with less bytes and transmission and required with good image recovery quality. The development of multimedia and digital imaging has led to high quantity of data required to represent modern imagery. This requires large disk space for storage, and long time for transmission over computer networks, and these two are relatively expensive. These factors prove the need for images compression. Image compression addresses the problem of reducing the amount of space required to represent a digital image yielding a compact representation of an image, and thereby reducing the image storage, transmission time requirements. The key idea here is to remove redundancy of data presented within an image to reduce its size without affecting the essential information of it.

Keywords: Lossless Image Compression; Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), compression ratio (CR), peak signal to noise ratio (PSNR).