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      • A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding 

        Kamble, Shailesh; Thakur, Nileshsingh; Bajaj, Preeti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
        Fractal compression is the lossy compression technique in the field of gray/color image and video compression. It gives high compression ratio, better image quality with fast decoding time but improvement in encoding time ...
      • Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution 

        Pan, Shaoming; Gu, XiaoLin; Chong, Yanwen; Guo, Yuanyuan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
        In content-based image compression, the importance map guides the bit allocation based on its ability to represent the importance of image contents. In this paper, we improve the representational power of importance map ...
      • Modified Three-Step Search Block Matching Motion Estimation and Weighted Finite Automata based Fractal Video Compression 

        Kamble, Shailesh; Thakur, Nileshsingh; Bajaj, Preeti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
        The major challenge with fractal image/video coding technique is that, it requires more encoding time. Therefore, how to reduce the encoding time is the research component remains in the fractal coding. Block matching ...
      • Video Data Compression by Progressive Iterative Approximation 

        Ebadi, M. J.; Ebrahimi, A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
        In the present paper, the B-spline curve is used for reducing the entropy of video data. We consider the color or luminance variations of a spatial position in a series of frames as input data points in Euclidean space R ...

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