IJRSET 2015 SPL Volume 2, Issue 9 Pages: 23-28 A Survey on recent Image Compression Techniques 1 Dr. S. Vimala, 2 Mrs. A. Niranjana 1 Associate Professor, 2 Research Scholar 1, 2 Department of Computer Science 1, 2 Mother Teresa Women’s University 1, 2 Kodaikanal Abstract:- Nowadays transmission of images in computer, mobile and internet are essential. To store an image, large quantities of digital data are required. Due to the problem of limited bandwidth, there is need to compress the image before transmission. To make clear of this problem several image compression techniques have been developed in image processing. This study presents a survey on recent Image Compression Techniques. Keywords: - Image Compression, Lossy and Lossless Compression, Huffman encoding, Fractal Coding. 1. INTRODUCTION Image compression is used to minimize the size without affecting the quality of the image. The reduction in the size of image allows more image to be stored in the disk or given memory space. The compression techniques reduces the size of data that requires less bandwidth and less transmission time and related cost. The best image quality at a given bit rate or compression rate is the main goal of image compression. The quality of a compression method often is measured by the peak signal to noise ratio. It measures the amount of noise introduced through a lossy compression of the image. The two common compressed graphic image formats are the JPEG format and the GIF format for internet use. JPEG method is used for photographs and the GIF method is used for line art and other images in which geometric shapes are relatively simple. Image compression softwares are constantly used to store or transmit information with methods that try to reduce redundant information in file content and thus minimizing their physical space. Since various amounts of data can be used to represent the same amount of information, the principle approach in compression is the reduction of the amount of image data (bits) while preserving information (image details). Image can be classified as vector or raster image. Raster images are made up of array of pixel while vector image is made up of lines and curves that are results of mathematical calculations from several points, thus forming an object image. All compression algorithms are applied to raster or bitmap image as their size is comparatively very large as compare to vector image. Thus when we talk about image here it should be considered as raster. Images generally consist of redundant information which can be classified as statistically redundant or visually irrelevant. Targeting these areas defines the type of technique to be used for compression. In this paper we first describe variouscompression techniques based on Lossy and Lossless techniques.