基于Burrows-Wheeler变换的图像压缩改进框架

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI:10.1109/CINE.2016.33

Annapurna Pradhan, Nibedita Pati, Suvendu Rup, Avipsa S. Panda

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引用次数: 3

摘要

提出了一种改进的基于Burrow Wheeler变换(BWT)的图像压缩框架。小波变换在文本压缩中得到了广泛的应用，但在图像压缩中却鲜有尝试。就像文本压缩一样，它不会直接应用于图像。在对记录器进行了一定的排列后，将其应用于图像压缩框架中。在提出的方法中，它在熵编码之前应用，并且观察到与JPEG和基于小波的JPEG2000方法相比，在压缩效率方面实现了显着的改进。并与其他标准图像编码方案进行了仿真。对PSNR (db)、率失真性能(比特率(bpp)、PSNR和压缩比进行了性能比较。总的来说，与同类方案相比，该方案具有更优的性能。

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A Modified Framework for Image Compression Using Burrows-Wheeler Transform

The paper presents a modified framework for image compression using Burrow Wheeler Transform (BWT). The BWT is widely used in text compression but very few attempts have been made to BWT in image compression. Just like text compression it will not directly apply to an image. After performing some recorder arrangement it has been applied successively in an image compression framework. In the proposed approach it is applied before entropy coding and it has observed that a significant amount of improvement in terms of compression efficiency is achieved as compared to the JPEG and wavelet based JPEG2000 approach. The proposed scheme is simulated along with other standard image coding scheme. Performance comparisons have been made with respect to PSNR in (db), rate distortion performance in terms of bit rate (bpp) vs. PSNR and compression ratio. In general, it is obtained that the proposed scheme has a superior performance as compared to its competent schemes.

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2016 2nd International Conference on Computational Intelligence and Networks (CINE)

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