Topic
Histogram equalization
About: Histogram equalization is a research topic. Over the lifetime, 5755 publications have been published within this topic receiving 89313 citations.
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TL;DR: An image quality assessment metric for color correction that assesses the color consistency between the reference and target/result images of color correction according to their color contrast similarity and color value difference is presented.
Abstract: Color correction plays an important role in the image processing field. But substantial research on the assessment of color correction is still insufficient. In this paper, we present an image quality assessment metric for color correction. It assesses the color consistency between the reference and target/result images of color correction according to their color contrast similarity and color value difference. Both the average difference and difference span are considered during the assessment. To compensate for the scene difference between the reference and target/result images of color correction, we propose to use an image registration algorithm to build their matching relationship, upon which a matching image is built. The matching image has the same scene as the target image and the same color feature as the reference image, and thus the matching image is regarded as the real reference image of our color correction assessment. Furthermore, we combine a confidence map of the matching image and a saliency map of the target/result image as a weighting map for assessment, which helps to improve the consistency between the objective and subjective assessment results. The experimental results show that our color correction assessment metric has better correlation, accuracy, and monotonicity with users’ subjective scores than 19 state-of-the-art metrics.
40 citations
TL;DR: The dynamic contrast ratio enhancement and the inverse gamma correction are realized simultaneously in the proposed method and the over-enhancement caused by the traditional HE can be avoided.
39 citations
TL;DR: Experimental results demonstrate that the proposed adaptive equalization approach is feasible for use as an effective and adaptive process to enhance the quality of IR images, regardless of the hot objects’ sizes.
39 citations
TL;DR: Results show that the proposed techniques outperform the state of the art techniques especially in low radiance images.
39 citations
13 May 2009
TL;DR: Experimental results demonstrate that this method is robust against several attacks such as: noise addition, histogram equalization, gamma correction, JPEG compression, cropping, rotation and randomly line and column removal.
Abstract: In this paper, we propose a hybrid robust digital watermarking algorithm based on singular value decomposition (SVD) and lifting wavelet transform (LWT). In contrast to other watermarking algorithms based on wavelet transforms which exploit the human visual system (HVS), proposed method does not require to use HVS characteristics. After decomposing the cover image into a two-level lifting wavelet transform, we compute the inverse LWT of a selected subband (SB). The watermark embedding procedure is done by modifying singular values. Experimental results demonstrate that this method is robust against several attacks such as: noise addition, histogram equalization, gamma correction, JPEG compression, cropping, rotation and randomly line and column removal.
39 citations