CABAC BASED ENCODING AND DECODING OF IMAGES USING MATLAB
Keywords:
Biometrics, PSNRAbstract
The machinery of identifying exclusive human topic comes under Biometrics. The categorization of person is made to calculate and analyze one or more inherent actions or physical structure. The CABAC is capable to do the encoding and decoding of graphic applying MATLAB. CABAC is a lossless compression method, as it is known that the video coding standards used the CABAC. These are especially for lossy compression applications. CABAC has been determined very essential. The reason is that it offers the better compression as compare to other entropy encoding algorithms. It has been applied within video encoding. The proposed work would be efficient to verify, simulated as well as synthesize the pipeline-parallel CABAC decoding process. This CABAC decoding process is on FPGA with the use of Matlab. The path delay has been reduced by 62 percent and 73 percent nearly compared to the conventional process. The path delay has been optimized by the proposed technique of memory by 1.98% and the slices are reduced by 7.14%. As scope of research, the work would be efficient to do the implementation of whole CABAC Algorithm on FPGA platform. In the future implementation, the tradeoff between high throughput and coding efficiency will be the challenging task.
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