Results 31 to 40 of about 8,731 (212)
Mine image enhancement method based on multi-scale local histogram equalization
Gong-kuang zidonghua, 2023 There are problems of under-enhancement and over-enhancement in commonly mine image enhancement methods such as histogram equalization, Retinex theory, homomorphic filtering, wavelet analysis, etc.
TU Yihan, WANG Puqing
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Histogram Equalization-Based Thresholding
IEICE Transactions on Information and Systems, 2008 The thresholding results for gray level images depend greatly on the thresholding method applied. However, this letter proposes a histogram equalization-based thresholding algorithm that makes the thresholding results insensitive to the thresholding method applied.
Soon Hak Kwon +4 more
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Engineering Science and Technology, an International Journal, 2019 Images are sometimes affected by improper illumination and are dark. This happens usually in medical images or the images acquired in low light conditions.
Navdeep Singh +2 more
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Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image.
M. Shakeri +2 more
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Equal-bin-width histogram versus equal-bin-count histogram
Journal of Applied Statistics, 2020 The histogram has all its bin widths equal to some non-random number arbitrary set by an analyst (EBWH). In the result, particular bin counts are random variables. This paper presents also a histogram that is constructed in a converse manner. Bin counts are all equal to some non-random number arbitrary set by an analyst (EBCH).
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SLAAHE: Selective Apex Adaptive Histogram Equalization
Franklin Open, 2023 Medical imaging enables specialists to make diagnoses our internal body organs for detecting anomalies without being intrusive. Unfortunately, the images produced by various modalities are not only plagued by noises, but the images contrasts are also ...
Manas Sarkar, Ardhendu Mandal
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Multi-Objective Pareto Histogram Equalization
Electronic Notes in Theoretical Computer Science, 2020 Abstract Several histogram equalization methods focus on enhancing the contrast as one of their main objectives, but usually without considering the details of the input image. Other methods seek to keep the brightness while improving the contrast, causing distortion.
Federico Daumas-Ladouce +4 more
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Exposure-based Weighted Dynamic Histogram Equalization for Image Contrast Enhancement
International Journal of Automation and Smart Technology, 2015 Global histogram equalization (GHE) [1] is a common method used for improving image contrast. However, this technique tends to introduce unnecessary visual artifacts and cannot preserve overall brightness.
Yung-Yao Chen, Shin-Anne Chen
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PENGARUH HISTOGRAM EQUALIZATION UNTUK PERBAIKAN KUALITAS CITRA DIGITAL
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2016 Penelitian ini membahas penggunaan metode histogram equalization yang akan digunakan untuk perbaikan kualitas citra. Perbaikan kualitas citra (image enhancement) merupakan salah satu proses awal dalam peningkatan mutu citra.
Sisilia Daeng Bakka Mau
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COMPARISON OF IMAGE ENHANCEMENT TECHNIQUES FOR RAPID PROCESSING OF POST FLOOD IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Satellite images are widely used for assessing the areal extent of flooded areas. However, presence of clouds and shadow limit the utility of these images.
M. Harichandana +3 more
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