Combined de-noising and sharpening of color images in DCT domain

R. Bilcu, S. Alenius, Markku Vehviläinen
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引用次数: 2

Abstract

In this paper we present a new DCT-based method for combined de-noising and sharpening of color images. Our solution combines alpha-rooting and thresholding the DCT coefficients to achieve both sharpening and noise reduction. In our approach, sharpening and de-noising are done in the YUV color space with Y, U and V components being processed differently. Moreover, the size of the sliding DCT transform is variable and adaptive to the local characteristics of the input image thus increasing the visual quality of the processed image. We describe our method in detail and we present experimental results, performed on color images, to compare its performance with other existing solutions.
DCT域彩色图像的去噪与锐化相结合
本文提出了一种基于dct的彩色图像去噪与锐化相结合的新方法。我们的解决方案结合了α -生根和阈值化DCT系数来实现锐化和降噪。在我们的方法中,锐化和去噪是在YUV色彩空间中完成的,Y、U和V分量被不同地处理。此外,滑动DCT变换的大小是可变的,可以适应输入图像的局部特征,从而提高了处理后图像的视觉质量。我们详细描述了我们的方法,并给出了在彩色图像上执行的实验结果,将其性能与其他现有解决方案进行比较。
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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