VLSI based orthogonal diagonal cross hair search (ODCHS) algorithm implementation for efficient image compression |
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| Affiliation: | 1. State Key Laboratory of Virtual Reality Technology and Systems, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, PR China;2. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, PR China;1. Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China;2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;1. PDPM—Indian Institute of Information Technology Design and Manufacturing, Jabalpur 482005, MP, India;2. Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India;1. PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur 482005, MP, India;2. Indian Institute of Technology Roorkee, Roorkee 247667, Uttrakhand, India |
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| Abstract: | In this paper, an efficient image codec is proposed using Magnetic Resonance Images (MRI). During the past few years, frequency domain analyzes such as Discrete Cosine Transform and Discrete Wavelet Transform (DWT) have been widely used in the field of image compression due to their well localized property of its coefficients in both frequency and space domain. This work also deals with image compression based on frequency domain transformation. As the medical images are very important for diagnosis, they require lossless compression to store them. However, the coefficients of DWT are real numbers; lossless compression cannot be achieved. To overcome this limitation, a variant of DWT named Lifting Wavelet Transform (LWT) is utilized in the proposed system. The proposed codec is applied on the decomposed image. The codec has also been synthesized using FPGA and the results are compared with simulation results and verified. |
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