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Journal ArticleDOI

Adaptive contrast enhancement using edge-based lighting condition estimation

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TLDR
Experimental results show that the proposed method improved the perceptual visual quality of various images by increasing the average structural fidelity, enhancement performance measure, entropy, and tone-mapped image quality index by up to 11%, 133%, 16%, and 11%, respectively, compared to the benchmark methods.
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This article is published in Digital Signal Processing.The article was published on 2016-11-01. It has received 8 citations till now. The article focuses on the topics: Image quality & Tone mapping.

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Citations
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Journal ArticleDOI

Automated optical inspection system for surface mount device light emitting diodes

TL;DR: The result proves that the proposed method can segment the defect effectively and correctly compared with the phase-only transform (PHOT) and multiscale phase- only transform (MPHOT), and it can be used in other fields of texture anomaly detection.
Journal ArticleDOI

Integrating image processing and classification technology into automated polarizing film defect inspection

TL;DR: A high precision automated inspection and classification system for polarizing film, which is used for recognition and classification of four common defects: dent, foreign material, bright spot, and scratch, is proposed, meeting the practical application requirement of an industrial production line.
Journal ArticleDOI

Low dynamic range histogram equalization (LDR-HE) via quantized Haar wavelet transform

TL;DR: In this study, a novel image contrast enhancement method, called low dynamic range histogram equalization (LDR-HE), is proposed based on the Quantized Discrete Haar Wavelet Transform (HWT), which provides a scalable and controlled dynamic range reduction in the histograms when the inverse operation is done in the reconstruction phase in order to regulate the excessive contrast enhancement rate.

Image enhancement for backlight-scaled TFT-LCD displays

TL;DR: The proposed method optimizes the image quality for a given backlight intensity by performing brightness compensation and local contrast enhancement and a brightness prediction scheme is proposed to speed up the algorithm for display of video sequences.
Book ChapterDOI

Improvising Non-uniform Illumination and Low Contrast Images of Soil Transmitted Helminths Image Using Contrast Enhancement Techniques

TL;DR: Modified linear contrast stretching and modified global contrast stretching are able to equalize the lighting in the non-uniform illumination images of helminth eggs and would become useful for parasitologist in analyzing helmineth eggs.
References
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Journal ArticleDOI

A Computational Approach to Edge Detection

TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI

A multiscale retinex for bridging the gap between color images and the human observation of scenes

TL;DR: This paper extends a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition and defines a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency.
Journal ArticleDOI

Retinex processing for automatic image enhancement

TL;DR: This work develops the Retinex computation into a full scale automatic image enhancement algorithm—the multiscale RetineX with color restoration (MSRCR)—which com- bines color constancy with local contrast/lightness enhancement to transform digital images into renditions that approach the realism of direct scene observation.
Journal ArticleDOI

Objective Quality Assessment of Tone-Mapped Images

TL;DR: An objective quality assessment algorithm for tone-mapped images is proposed by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure onThe basis of intensity statistics of natural images.
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