Image contrast enhancement using homomorphic processing and adaptive filters

M. Hadhoud
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引用次数: 11

Abstract

This paper proposes a method of image enhancement using adaptive filters. An adaptive high pass (HP) and low pass (LP) filters are combined in homomorphic domain to obtain adaptive image enhancement filter. The method offers great advantages over the method of using fixed filters. Adaptive filters allow the use of HPF with different sizes and amount of sharpening as required. Also this paper proposes spatial domain contrast enhancement method which is equivalent to the processing in homomorphic domain without the need to any logarithmic operations. The use of adaptive HP method is shown to be very useful and avoids the noise amplification and details blurring. The adaptive method do not assume any knowledge about the image statistics or characteristics. Results are presented to illustrate the performance of the proposed method. Future research includes studying the use of multiple HPF channels with different HP filter sizes and the adaptation of the enhancement parameters to the changes in the image local contrast.
图像对比度增强使用同态处理和自适应滤波器
提出了一种基于自适应滤波器的图像增强方法。将自适应高通(HP)和低通(LP)滤波器在同态域组合,得到自适应图像增强滤波器。与使用固定滤波器的方法相比,该方法具有很大的优点。自适应滤镜允许根据需要使用不同尺寸和锐化量的HPF。本文还提出了一种空间域对比度增强方法,该方法等效于同态域的处理,而不需要进行任何对数运算。采用自适应HP方法可以有效地避免噪声放大和细节模糊。自适应方法不假设任何关于图像统计或特征的知识。实验结果表明了该方法的有效性。未来的研究包括使用不同HP滤波器尺寸的多个HPF通道,以及增强参数对图像局部对比度变化的适应。
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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