{"references": ["Cebrail Taskin, Serdar Kursat Sarikoz, An Overview of Image Compression\nApproaches, The Third International Conference on Digital\nTelecommunications, 2008 IEEE.", "Uvais Qidwai and C.H.Chen, Digital Image Processing: An Algorithmic\nApproach with MATLAB, CRC press,2009.", "Nikolay Ponomarenko, Vladimir Lukin, Karen Egiazarian,Edward\nDelpc, Comparison of lossy Compression Performance on Natural Color\nImages, 2009,IEEE.", "Fouzi Douak, Redha Benzid, Nabil Benoudjit, Color image compression\nal-gorithm based on the DCT transform combined to an adaptive block\nscanning, AEU - International Journal of Electronics and Communications,\nvol.65, Issue 1, pp. 16-26,Jan 2011.", "Bibhas Chandra Dhara, Bhabatosh Chanda, Color image compression\nbased on block truncation coding using pattern fitting principle, Pattern\nRecognition, vol. 40, Issue 9, pp.2408-2417,Sept. 2007.", "Subhasis Saha, Image Compression- from DCT to Wavelets, from\nhttp://www.acm.org/crossroads/xrds63/sahaimgcoding.html.", "Z. Xiang, K. Ramachandran, M.T. Orchard and Y.Q. Zhng, A comparative\nstudy of DCT and Wavelet based image coding, IEEE Transaction\non Circuits Systems Video Technology ,vol. 9,April 1999.", "Robi Polikar, Wavelet tutorial, Available at\nhttp://users.rowan.edu/polikar/WAVELETS/WTtutorial.html.", "An introduction to wavelets, Available at\nhttp://www.amara.com/IEEEwave/IEEEwavelet.htm\n[10] Lewis, and Knowles, Image Compression Using the 2-DWavelet Transform,\nIEEE Trans. IP ,vol. 1, April 1992.\n[11] Jerome M. Shapiro, Embedded Image Coding Using Zero trees of\nWavelet Co-ecients, IEEE Transactions on Signal Processing,vol. 41,Issue\n12,pp.3445, Dec 1993.\n[12] A.Said and W.A.Pearlman, A new,fast,and efficient image codec based\non set partitioning in hierarchical trees, IEEE Transactions on Circuits\nand Systems for Video Technology, Vol. 6 , Issue 3 ,pp. 243,June 1996.\n[13] D. Taubman, High performance scalable image compression with\nEBCOT, IEEE Transactions on Image Processing, vol. 9 , Issue 7,\n11581170, Jul. 2000.\n[14] C. C. A. Skodras and T. Ebrahimi, The JPEG2000 still image compression\nstandard, IEEE Signal Processing Mag. , vol.18 , Issue 9 , pp.\n3658, Sept.2001.\n[15] A. Islam and W. A. Pearlman, Set partitioned sub-block coding\n(SPECK), ISO/IEC/JTC1/SC29, WG1 N1188, Mar. 1999.\n[16] W. A. Pearlman, A. Islam, N. Nagaraj, and A. Said, Efficient, low\ncomplexity image Coding with a set-partitioning embedded block coder,\nIEEE Transaction on Circuits System video Technology,Issue 11, pp.\n12191235, Nov.2004.\n[17] Harish Arora, Pramit Singh, Ekram Khan, Farid Ghani, Memory Efficient\nImage Coding with Embedded Zero Block-Tree Coder, International\nConference on Multimedia and Expo (ICME),2004 IEEE.\n[18] Said Bourezg, Derbel Abd Elhak, Run length encoding and decoding,\nAvailable at www.mathworks.com\n[19] Luo Zhifeng,Fu Changhong, Fan Xu, Qian Zhicong, Wu Shunxiang, An\neasy image compression method and its realization base on MATLAB,\nInformation Engineering and Computer science International Conference,\n2009.\n[20] Rafael C. Gonzalez, Digital Image Processing, Second Ed. Pearson\nEducation, 2004.\n[21] R.Sudhakar, Ms R Karthiga, S.Jayaraman, Image Compression using\nCoding of Wavelet Coefficients- A Survey, ICGST-GVIP Journal, vol. 5,\nIssue 7,July 2005 .\n[22] Ankur Kumar , A Highly Scalable Wavelet Based Image Codec,\nM.E.Thesis,Department of Electronics and Electrical Communication\nEngineer- ing,Punjab Engineering College, Chandigarh,2006.\n[23] Piotr Porwik, Agnieszka Lisowska, The Haar Wavelet Transform in\nDigital Image Processing : Its Status and Achievements, Machine\nGraphics and vision ,vol . 13, pp.79-98, 2004.\n[24] Anuj Bhardwaj and Rashid Ali, Image Compression Using Modified Fast\nHaar Wavelet Transform, World Applied Sciences Journal ,vol.7 ,Issue\n5,pp.647-653, 2009.\n[25] Ekram Khan and Mohammed Ghanbar, Wavelet based Efficient color\nimage coding technique, Proceedings of International Conference on\nImage Processing, 2002 ,vol. 3 ,pp. III-241 - III-244,2002.\n[26] Chien-Wen Chen, Tsung-Ching Lin,Shi-Huang Chen, Trieu-Kien\nTruong, A Near Lossless Wavelet-Based Compression Scheme for Satellite\nImages, WRI World Congress on Computer Science and Information\nEngineering,vol. 6 , pp. 528 - 532, 2009.\n[27] Yi-Qiang Hu, Hung-Hseng Hsu and Bing-Fei Wu, An Integrated Method\nto Image Compression Using The Discrete Wavelet Transform, Proceedings\nof 1997 IEEE International Symposium on Circuits and Systems,\n1997. ISCAS -97,vol.2,pp.1317-1320,Jun 1997 ."]}

In present paper we proposed a simple and effective method to compress an image. Here we found success in size reduction of an image without much compromising with it-s quality. Here we used Haar Wavelet Transform to transform our original image and after quantization and thresholding of DWT coefficients Run length coding and Huffman coding schemes have been used to encode the image. DWT is base for quite populate JPEG 2000 technique.