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Real-time implementation of Fractal Image Compression in low cost FPGA

机译:低成本FPGA中分形图像压缩的实时实现

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Fractal Image Compression (FIC) is one of the most popular techniques used in image and video compression due to its simplicity and superior performance. The main drawback of FIC arises from its time consuming operation, especially when a full search is attempted. Hence, it is very challenging to achieve a real-time operation if this algorithm is implemented in general processor unit. In this paper, a new parallel architecture is proposed for implementing a full-search FIC coding. This proposed design is synthesized on a low-cost FPGA and optimized at circuit level in order to achieve a near real-time operation. The performance of the proposed architecture is quantitatively evaluated in terms of run-time, peak-signal-to-noise-ratio (PSNR) and compression efficiency. A run-time equivalent to a video speed of 20 frame per second (fps) is easily achieved on this new hardware with PSNR and compression ratio averaging at 30 dB and 5.82 % respectively.
机译:分形图像压缩(FIC)由于其简单性和优越的性能而成为在图像和视频压缩中使用的最受欢迎的技术之一。 FIC的主要缺点来自其耗时的操作,尤其是在尝试完全搜索时。因此,如果在通用处理器单元中实现该算法,则实现实时操作是非常具有挑战性的。在本文中,提出了一种新的并行体系结构,用于实现全搜索FIC编码。这项拟议的设计在低成本FPGA上进行了合成,并在电路级进行了优化,以实现近乎实时的操作。根据运行时间,峰值信噪比(PSNR)和压缩效率对所提出体系结构的性能进行了定量评估。在这种新硬件上,PSNR和压缩率平均分别平均为30 dB和5.82%,可以轻松实现相当于20帧每秒(fps)的视频速度的运行时间。

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