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In this paper, we presents a fuzzy concept based histogram equalization approach. We use Kaufmann's metric of fuzziness concept for histogram equalization. The principal idea of this article is to utilize and evaluate degree of fuzziness. The presented histogram equalization approach is processed to Y component of YUV color space, which is transformed information from RGB image. The improved Y channel...
Enhancing the contrast of a digital image without affecting the mean brightness of the input digital image is a basic requirement in many electronic applications. In this paper we proposed a contrast enhancement technique without affecting the mean brightness of the images. We propose a parametric sigmoid formula in which contrast and the position of steepest point of the curve of the function is...
It is widely known that, for most natural images, appropriate contrast enhancement can usually lead to improved subjective quality. Despite of its importance to image processing, contrast change has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, in this paper we first report a new and dedicated contrast-changed image database (CID2013). The CID2013...
Image quality assessment (IQA) is very important for many image and video processing applications, e.g. compression, archiving, restoration and enhancement. An ideal image quality metric should achieve consistency between image distortion prediction and psychological perception of human visual system (HVS). Inspired by that HVS is quite sensitive to image local orientation features, in this paper,...
H-DIBCO 2010 is the International Document Image Binarization Contest which is dedicated to handwritten document images organized in conjunction with ICFHR 2010 conference. The general objective of the contest is to identify current advances in handwritten document image binarization using meaningful evaluation performance measures. This paper reports on the contest details including the evaluation...
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