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Journal ArticleDOI

Image enhancement via adaptive unsharp masking

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TLDR
A new method for unsharp masking for contrast enhancement of images is presented that employs an adaptive filter that controls the contribution of the sharpening path in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas.
Abstract
This paper presents a new method for unsharp masking for contrast enhancement of images. The approach employs an adaptive filter that controls the contribution of the sharpening path in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas.

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Citations
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Journal ArticleDOI

Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images

TL;DR: Experimental results demonstrate that the proposed enhancement algorithm can not only enhance the details but also preserve the naturalness for non-uniform illumination images.
Journal ArticleDOI

Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

TL;DR: An automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels and uses temporal information regarding the differences between each frame to reduce computational complexity is presented.
Journal ArticleDOI

A Histogram Modification Framework and Its Application for Image Contrast Enhancement

TL;DR: A general framework based on histogram equalization for image contrast enhancement, and a low-complexity algorithm for contrast enhancement is presented, and its performance is demonstrated against a recently proposed method.
Journal ArticleDOI

Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy

TL;DR: The presented algorithms use the fact that the relationship between stimulus and perception is logarithmic and afford a marriage between enhancement qualities and computational efficiency to choose the best parameters and transform for each enhancement.
Book

High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)

TL;DR: This landmark book is the first to describe HDRI technology in its entirety and covers a wide-range of topics, from capture devices to tone reproduction and image-based lighting, leading to an unparalleled visual experience.
References
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Book

Adaptive Signal Processing

TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Journal ArticleDOI

Cubic convolution interpolation for digital image processing

TL;DR: It can be shown that the order of accuracy of the cubic convolution method is between that of linear interpolation and that of cubic splines.
Journal ArticleDOI

Cubic splines for image interpolation and digital filtering

TL;DR: Applications to image and signal processing include interpolation, smoothing, filtering, enlargement, and reduction, and experimental results are presented for illustrative purposes in two-dimensional image format.
Journal ArticleDOI

Nonlinear unsharp masking methods for image contrast enhancement

TL;DR: This paper outlines several new methods of unsharp masking based on the use of suitable nonlinear filters which combine the features of both highpass and lowpass filters and introduces a new measure of contrast enhancement which quantitatively supports the improvement obtained using these methods.
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