http://www.iaeme.com/IJCET/index.asp 1 editor@iaeme.com International Journal of Computer Engineering & Technology (IJCET) Volume 9, Issue 1, Jan-Feb 2018, pp. 1–7, Article ID: IJCET_09_01_001 Available online at http://www.iaeme.com/ijcet/issues.asp?JType=IJCET&VType=9&IType=1 Journal Impact Factor (2016): 9.3590(Calculated by GISI) www.jifactor.com ISSN Print: 0976-6367 and ISSN Online: 0976–6375 © IAEME Publication AN REVIEW ON ROBUST AND EFFICIENT TECHNIQUES FOR IMAGE COMPRESSION Ali Ibrahim School of Computer and Communication Engineering, Universal Malaysia Perlis N.A.H. Zahri School of Computer and Communication Engineering, Universal Malaysia Perlis ABSTRACT Image compression is one of the emerging fields in image processing. Based on such compression techniques we have discussed various robust approaches for Image Compression in this paper. Compression of images deals with the procedure of decreasing the Image size deprived of humiliating the excellence of the image. Various kinds of Images and dissimilar Compression methods are deliberated here. Image Compression deals with the solution related with transmission and storing of large amount of data for digital Image. Broadcasting of Imageries includes different presentations such as Television broadcasting, remote recognizing via cable and other long detachment. Communication while storage is obligatory for medical descriptions, satellite imageries, documents and depictions. Image solidity deals with such types of presentations. Key word: Image compression, Image processing, Preprocessing, Compression techniques. Cite this Article: Ali Ibrahim and N.A.H. Zahri, An Review on Robust and Efficient Techniques for Image Compression. International Journal of Computer Engineering & Technology, 9(1), 2018, pp. 1–7. http://www.iaeme.com/ijcet/issues.asp?JType=IJCET&VType=9&IType=1 1. INTRODUCTION Compression deals reducing the amount of data used to signify a data, image or audiovisual content deprived of excessively decreasing the excellence of the unique data. Image density is the presentation of data compression on various digital imageries. The foremost purpose of compression of image is to decrease the dismissal and irrelevancy existing in the image, so that it can be deposited and transported efficiently [1]. The image which is compressed is characterized by fewer amounts of bits likened to original. Hence, the compulsory storage size will be concentrated, accordingly extreme images can be stored and it can relocate in quicker way to save the period and transmission bandwidth. Initially all the appearance is taken after the image dataset. The mapper changes the input appearance into inter pixel quantities. Alteration for the mapper might be DCT, DWT transform. The General Compression Process is given below using block diagram. [2]