Image compression is the science of reducing the size of image file in bytes by reducing the redundancy between pixels in an image without degrading the quality of image so that it can store more images in a given amount of disk or memory space and also it tends to reduces the time required to send the images over the network. Many hardware efficient techniques exist,inspired from it this paper, propose an image compression technique based on the pixel-wise fidelity and its FPGA implementation. The proposed method is used to reduce the bit rate of the pixels for better image compression by using angular transformation. Here propose an hardware efficient FPGA architecture using angular domain concept based on CORDIC algorithm is presented. In this paper, the architecture is first simulated in MATLAB for calculating PSNR, MMSE and compression ratio and then it simulated and synthesized using Xilinx ISE tool and verify the parameters such as area, power and delay required for compressing the image with visual appearance of the output compressed image.

1. M. Tuceryan and A. K. Jain, "Texture analysis," in The Handbook of Pattern Recognition and Computer Vision, C. H. Chen, L. F. Pau, and P. S. P. Wang, Eds. , 2nd ed. Singapore: World Scientific, 1998, pp. 207–248.
2. D. Malarvizhi, Dr. K. Kuppusamy, "A new entropy encoding algorithm for image compression using DCT", International Journal of Engineering Trends and Technology- Volume3Issue3- 2012.
3. S. Rooij, P. Vitanyi, "Approximating Rate-Distortion Graphs of individual Data: Experiments in Lossy Compression and Denoising", IEEE Transaction on Computers, vol. 61, N° 3, March 2012, pp. 395-407.
4. Harjeetpal singh, Sakhi Sharma, "Hybrid Image Compression Using DWT, DCT & Huffman Encoding Techniques",International Journal of Emerging Technology and Advanced Engineering, ISSN 2250- 2459, Volume 2, Issue 10, October 2012.
5. Shantanu D. Rane and Guillermo Sapiro, Member, IEEE,"Evaluation of JPEG-LS, the New Lossless and Controlled-Lossy Still Image Compression Standard, for Compression of Hi gh-Resolution Elevation Data ", IEEE Transactions on Geoscience and Remote sensing, VOL. 39, NO. 10, Oct. 2001
6. Ali M. Reza, Robert D. Turneyi, "FPGA Implementation of 2D Wavelet Transform", IEEE Trans. On Pattern recognition-0-7803-5700-000,1999
7. J. Holder,"The CORDIC trigonometric computing technique",IRE trans. Electron. Comput. Vol. No. 8, pp-330-334, 1959
8. S. S. Limaye,"VHDL-A design oriented approach", The Mc-Graw-Hill companies, 5th reprient 2011
9. Chih-Hsiu Lin, "Mixed-scaling-rotation CORDIC (MSR-CORDIC) algorithm and architecture for high-performance vector rotational DSP applications", Regular Papers, IEEE Transactions on Circuits and Systems (Volume:52 , Issue: 11,2012 )
10. Loay E. George and Azhar M. Kadim, "Color Image Compression Using Fast VQ with DCT Based Block Indexing Method", ICIAR 2011, part II, LNCS6754, pp. 253-263, Springer-Verlag Berlin Heidelberg 2011
11. M. Tuceryan and A. K. Jain, "Texture analysis," in The Handbook of Pattern Recognition and Computer Vision, C. H. Chen, L. F. Pau, and P. S. P. Wang, Eds. , 2nd ed. Singapore: World Scientific, 1998, pp. 207–248.
12. Sung-Hsien Sun and Shie-Jue Lee, "A JPEG Chip for Image Compression and Decompression", Journal of VLSI Signal Processing 35, 43–60, 2003
13. Mr. N S T Sai and R. C. Patil,"Image retrieval using Bit plane pixel distribution", International Journal of computer science and Information tech. ,Vol 3, June-2011.
14. Kadono, S, Tahara O and Okamoto N (2001) "Encoding ofcolor still pictures wavelet transform and vector quantization", Canadian Conference on Electrical andComputer Engineering 2:931–936.
15. B. Krill, A. Ahmad, A. Amira, H. Rabah, "An efficient FPGA-based dynamic partial reconfiguration design flow and environment for image and signal processing IP cores", Signal Processing: Image Communication 25 (2010) 377–387 Elsevier.
16. Kalaiyarasi . K, Deepika . S et al, "Fast DCT Computation Using Cordic Algorithm for Image Processing Application" International Journal for Research and Development in Engineering pp- 342-347-2014.

Image Compression Angular Transformation Vhdl Fpga Cordic Bit Plane Slicing Mmse Psnr Rtl.