基于图割的压缩感知图像采集算法

2014 22nd Signal Processing and Communications Applications Conference (SIU) Pub Date : 2014-04-23 DOI:10.1109/SIU.2014.6830726

Julide Gulen Alaydin, Seden Hazal Gulen, M. Trocan, B. U. Toreyin

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引用次数: 1

摘要

本文的目的是利用图切量化器分配方法，为压缩感知采集图像找到最佳的量化器分配。利用随机投影矩阵以基于块的方式实现压缩感测采集，并在获得的块测量值上应用基于图分割的量化器分配方法，以进一步降低与测量相关的比特率。最后，使用平滑投影Landweber恢复方法重建量化测量值。与JPEG2000相比，本文提出的压缩感知采集方法具有更好的压缩效果。

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Graph-cut-based compression algorithm for compressed-sensed image acquisition

The purpose of the paper is to find the best quantizer allocation for compressed-sensed acquired images, by using a graph-cut quantizer allocation method. The compressed sensed acquisition is realized in a block-based manner, using a random projection matrix, and on the obtained block measurements a graph-cut-based quantizer allocation method is applied, in order to further reduce the bitrate associated to the measurements. Finally, the quantized measurements are reconstructed using a Smooth Projected Landweber recovery method. The proposed compression method for compressed sensed acquisition shows better results when compared to JPEG2000.

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来源期刊

2014 22nd Signal Processing and Communications Applications Conference (SIU)

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