Image Compression Using Fuzzy Enhancement
Chithrakshi1, Taranath H.B2
1Ms.Chithrakshi, PG Student, Department of Electronics and Communication Engineering, Mangalore Institute of Technology and Engineering, Moodbidri, India.
2Mr. Taranath H.B,  Assistant Professor, Department of Electronics and Communication Engineering. Mangalore Institute of Technology and Engineering, Moodbidri, India.
Manuscript received on March 20, 2014. | Revised Manuscript received on April 18, 2014. | Manuscript published on April 30, 2014. | PP: 348-351  | Volume-3, Issue-4, April 2014. | Retrieval Number:  D3033043414/2013©BEIESP

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Abstract: Fuzzy logic is a way to embed an engineer’s experience into the system. It mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems, advanced fault detection and other complex applications. The fuzzy logic, unlike conventional logic system, is able to model inaccurate or imprecise models. The fuzzy logic approach offers a simpler, quicker and more reliable solution that is clear advantages over conventional techniques. It can significantly improve response so we are actively incorporating fuzzy logic into many real time applications. Image processing is one of the area where fuzzy can be utilized for the image enhancement. Image compression is one of the major image processing techniques that is widely used in medical, automotive, consumer and military applications. In this project fuzzy technique has been used in image compression with Discrete Wavelet Transforms (DWT) technique. Discrete wavelet transforms is the most popular transformation technique adopted for image compression. Complexity of DWT is always high due to large number of arithmetic operations. In order to minimize the complexity of DWT, modified DA split architecture has been proposed and implemented on FPGA.
Keywords: DA split architecture, Discrete wavelet transforms (DWT), Fuzzy logic, Image processing.