基于yuv的分形图像压缩快速FPGA实现

2014 IEEE Fifth International Conference on Communications and Electronics (ICCE) Pub Date : 2014-10-07 DOI:10.1109/CCE.2014.6916745

T. Son, T. Hoang, N. T. Dzung, Nguyen Hoai Giang

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引用次数: 5

摘要

分形图像压缩(FIC)方法提供了一种具有极高压缩比和较好的PSNR的彩色图像压缩方案。在本文中，我们开发了一种用于彩色图像的分形图像压缩的有效方法，该方法利用分形编码在RGB到YUV的4:1:1采样模式下进行颜色变换。用Fisher的方法对彩色图像进行的实验结果验证了在保留可接受的PSNR的同时增加彩色图像FIC压缩比的可能性。利用彩色图像的分形编/解码器设计低比特率的视频编码系统。

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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Fast FPGA implementation of YUV-based fractal image compression

Fractal Image Compression (FIC) method provides a color image compression solution with an extremely high compression ratio and an relatively good PSNR. In this paper, we have developed an efficient approach for a fractal image compression applied to a color image, which utilizes a fractal coding on RGB to YUV color transformation at 4:1:1 sampling mode. The experimental results performed by Fisher's method for a color image have verified the possibility to increase the compression ratio of FIC for color image while retaining an acceptable PSNR. It's purposed to design the low-bit-rate video encoding system by fractal coder/decoder of a color image.

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2014 IEEE Fifth International Conference on Communications and Electronics (ICCE)

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