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Adaptive Wavelet Fusion based Color Image Enhancement by Scaling the DC Coefficients

机译:通过缩放直流系数,基于自适应小波融合的彩色图像增强

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Usually the images taken by digital cameras are different from the original true color image in terms of color and brightness of the scene captured. Various factors like non uniform illumination, color of ambient light, low or high contrast, and over exposure or under exposure of some specific regions may leads to poor contrast which is annoying to human visual system. Thus, enhancement methods are required for color images. In this paper An image fusion is used to improve the performance of DC coefficient scaling method in the compressed DCT domain for enhancing the contrast of colour images. Using the multi resolution wavelet fusion preserves the brightness of the enhanced image. This improves the entropy of standard DCT based DC coefficient scaling method. For comparing the performance along with SNR and the absolute standard deviation difference is also used as parameters. The methods are tested on various true colour images from different environment
机译:通常,数码相机拍摄的图像与原始场景的色彩和亮度有所不同。诸如不均匀照明,环境光的颜色,低或高对比度以及某些特定区域的过度曝光或曝光不足之类的各种因素可能会导致对比度差,这会困扰人类的视觉系统。因此,彩色图像需要增强方法。本文采用图像融合技术来改善压缩DCT域中DC系数缩放方法的性能,以增强彩色图像的对比度。使用多分辨率小波融合可保留增强图像的亮度。这改善了基于标准DCT的DC系数缩放方法的熵。为了与SNR和绝对标准偏差之差进行性能比较,也将其用作参数。在来自不同环境的各种真彩色图像上测试了这些方法

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