Design and Implementation of a Multistage Image Compression and Reconstruction System Based on the Orthogonal Matching Pursuit Using FPGA

Mohamed M. Ahmed, Hassan Bedour, S. M. Hassan
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引用次数: 1

Abstract

Due to the vast developments in the media communication field and the quality of the visual imaging, image data compression has been one of the most interesting field. The main purpose of the image compression is to produce a very low bit rate while achieving a high quality of the reconstructed images. Image compression are used for all fields of media communication such as medical image recognition, multimedia, digital image processing. There are different algorithms for compression and reconstruction. One of these methods is the Orthogonal Matching Pursuit that is used mainly in the reconstruction of the radar signal. This paper discloses a new methodology for image compression and reconstruction to enhance the performance while at the same time reducing the bit data size. This kind of reconstruction algorithm is based upon multistage compression and OMP reconstruction. The Matlab Simulation and the FPGA implementation will be provided in this paper to validate the concept of this paper.
基于正交匹配追踪的多级图像压缩与重构系统的FPGA设计与实现
随着媒体通信领域的飞速发展和视觉成像质量的不断提高,图像数据压缩已成为人们关注的领域之一。图像压缩的主要目的是产生一个非常低的比特率,同时获得高质量的重建图像。图像压缩应用于医学图像识别、多媒体、数字图像处理等媒体通信的各个领域。有不同的压缩和重建算法。其中一种方法是正交匹配追踪,主要用于雷达信号的重建。本文提出了一种新的图像压缩和重建方法,以提高图像压缩和重建的性能,同时减少比特数据的大小。这种重构算法基于多级压缩和OMP重构。本文将提供Matlab仿真和FPGA实现来验证本文的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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