Quantization Noise of Multilevel Discrete Wavelet Transform Filters in Image Processing

被引：5

作者：

Chervyakov, N. I. ^{[1
]}

Lyakhov, P. A. ^{[1
]}

Nagornov, N. N. ^{[1
]}

机构：

[1] North Caucasus Fed Univ, Ul Pushkina 1, Stavropol 355009, Russia

来源：

OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2018年 / 54卷 / 06期

基金：

俄罗斯基础研究基金会;

关键词：

discrete wavelet transform; digital image processing; quantization noise; bit-width; fixedpoint format;

D O I：

10.3103/S8756699018060092

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The effect of the quantization noise of the coefficients of discrete wavelet transform (DWT) filters on the image processing result is analyzed. A multilevel DWT method is proposed for determining the effective bit-width of DWT filter coefficients at which quantization noise has little effect on the image processing result. The dependence of the peak signal-to-noise ratio (PSNR) in DWT of images on the wavelet used, the effective bit-width of the coefficients, and the number of processing levels is revealed. Formulas are derived for determining the minimum bit-width of the coefficients that provide high quality of the processed image (PSNR 40 dB) depending on the wavelet used and the number of processing levels. Experimental modeling of a multilevel DWT image confirmed the results obtained. In the proposed method, all data are represented in fixed-point format, making possible its hardwareefficient implementation on modern devices (FPGA, ASIC, etc.).

引用

页码：608 / 616

页数：9

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