Journal ArticleDOI
A simple and effective histogram equalization approach to image enhancement
Heng-Da Cheng,Xiangjun Shi +1 more
TLDR
The multi-peak generalized histogram equalization (multi-peak GHE) is proposed, which is improved by using multi- peak histogramequalization combined with local information to enhance the images effectively.About:Â
This article is published in Digital Signal Processing.The article was published on 2004-03-01. It has received 306 citations till now. The article focuses on the topics: Adaptive histogram equalization & Histogram matching.read more
Citations
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Journal ArticleDOI
LIME: Low-Light Image Enhancement via Illumination Map Estimation
Xiaojie Guo,Yu Li,Haibin Ling +2 more
TL;DR: Experiments on a number of challenging low-light images are present to reveal the efficacy of the proposed LIME and show its superiority over several state-of-the-arts in terms of enhancement quality and efficiency.
Journal ArticleDOI
LLNet: A deep autoencoder approach to natural low-light image enhancement
TL;DR: In this paper, a deep autoencoder-based approach is proposed to identify signal features from low-light images and adaptively brighten images without over-amplifying/saturating the lighter parts in images with high dynamic range.
Posted Content
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
TL;DR: It is shown that a variant of the stacked-sparse denoising autoencoder can learn from synthetically darkened and noise-added training examples to adaptively enhance images taken from natural low-light environment and/or are hardware-degraded.
Journal ArticleDOI
Automated breast cancer detection and classification using ultrasound images: A survey
TL;DR: Generally, a CAD system consists of four stages: preprocessing, segmentation, feature extraction and selection, and classification, and their advantages and disadvantages are discussed.
Journal ArticleDOI
Approaches for automated detection and classification of masses in mammograms
TL;DR: The methods for mass detection and classification for breast cancer diagnosis are discussed, and their advantages and drawbacks are compared.
References
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Journal ArticleDOI
Adaptive histogram equalization and its variations
Stephen M. Pizer,Stephen M. Pizer,E. Philip Amburn,E. Philip Amburn,John D. Austin,Robert Cromartie,Ari Geselowitz,Ari Geselowitz,Trey Greer,Bart M. ter Haar Romeny,John B. Zimmerman,John B. Zimmerman +11 more
TL;DR: It is concluded that clipped ahe should become a method of choice in medical imaging and probably also in other areas of digital imaging, and that clip ahe can be made adequately fast to be routinely applied in the normal display sequence.
Journal ArticleDOI
Contrast enhancement using brightness preserving bi-histogram equalization
TL;DR: It is shown mathematically that the proposed algorithm preserves the mean brightness of a given image significantly well compared to typical histogram equalization while enhancing the contrast and, thus, provides a natural enhancement that can be utilized in consumer electronic products.
Journal ArticleDOI
Image enhancement based on equal area dualistic sub-image histogram equalization method
Yu Wang,Qian Chen,Baeomin Zhang +2 more
TL;DR: The simulation results indicate that the algorithm can not only enhance the image information effectively but also preserve the original image luminance well enough to make it possible to be used in a video system directly.
Journal ArticleDOI
Adaptive image contrast enhancement using generalizations of histogram equalization
TL;DR: A scheme for adaptive image-contrast enhancement based on a generalization of histogram equalization (HE), which can produce a range of degrees of contrast enhancement, at one extreme leaving the image unchanged, at another yielding full adaptive equalization.
Journal ArticleDOI
Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.
Etta D. Pisano,Shuquan Zong,Bradley M. Hemminger,Marla C. DeLuca,R. Eugene Johnston,Keith E. Muller,M. Patricia Braeuning,Stephen M. Pizer +7 more
TL;DR: The selected CLAHE settings should be tested in the clinic with digital mammograms to determine whether detection of spiculations associated with masses detected at mammography can be improved.
Related Papers (5)
LIME: Low-Light Image Enhancement via Illumination Map Estimation
Xiaojie Guo,Yu Li,Haibin Ling +2 more