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Dissertations / Theses on the topic 'Contrast Limited Histogram Equalization'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Mallampati, Vivek. "Image Enhancement & Automatic Detection of Exudates in Diabetic Retinopathy." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18109.

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Diabetic retinopathy (DR) is becoming a global health concern, which causes the loss of vision of most patients with the disease. Due to the vast prevalence of the disease, the automated detection of the DR is needed for quick diagnoses where the progress of the disease is monitored by detection of exudates changes and their classifications in the fundus retina images. Today in the automated system of the disease diagnoses, several image enhancement methods are used on original Fundus images. The primary goal of this thesis is to make a comparison of three of popular enhancement methods of the

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2

Gomes, David Menotti. "Contrast enhancement in digital imaging using histogram equalization." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470545.

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Nowadays devices are able to capture and process images from complex surveillance monitoring systems or from simple mobile phones. In certain applications, the time necessary to process the image is not as important as the quality of the processed images (e.g., medical imaging), but in other cases the quality can be sacrificed in favour of time. This thesis focuses on the latter case, and proposes two methodologies for fast image contrast enhancement methods. The proposed methods are based on histogram equalization (HE), and some for handling gray-level images and others for handling color ima

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Gatti, Pruthvi Venkatesh, and Krishna Teja Velugubantla. "Contrast Enhancement of Colour Images using Transform Based Gamma Correction and Histogram Equalization." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14424.

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Contrast is an important factor in any subjective evaluation of image quality. It is the difference in visual properties that makes an object distinguishable from other objects and background. Contrast Enhancement method is mainly used to enhance the contrast in the image by using its Histogram. Histogram is a distribution of numerical data in an image using graphical representation. Histogram Equalization is widely used in image processing to adjust the contrast in the image using histograms. Whereas Gamma Correction is often used to adjust luminance in an image. By combining Histogram Equali

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4

Pehrson, Skidén Ottar. "Automatic Exposure Correction And Local Contrast Setting For Diagnostic Viewing of Medical X-ray Images." Thesis, Linköping University, Department of Biomedical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56630.

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<p>To properly display digital X-ray images for visual diagnosis, a proper display range needs to be identified. This can be difficult when the image contains collimators or large background areas which can dominate the histograms. Also, when there are both underexposed and overexposed areas in the image it is difficult to display these properly at the same time. The purpose of this thesis is to find a way to solve these problems. A few different approaches are evaluated to find their strengths and weaknesses. Based on Local Histogram Equalization, a new method is developed to put various cons

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Syue, Jin-Yu, and 薛晉宇. "An Efficient Fusion-Based Contrast Limited Histogram Equalization Defogging." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/n32w75.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>104<br>Image quality degradation is often introduced by capturing in poor weather conditions such as fog or haze. To overcome this problem, the conventional approaches focus mainly on the enhancement of the overall image contrast. However, because of the unspecified light-source distribution or unsuitable mathematical constraints of the cost functions, quality results are often difficult to achieve. In this thesis, a fusion-based transmission estimation method is introduced to adaptively combine two different transmission models. Specifically, the new fusion weightin

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6

CHEN, ZHI-FAN, and 陳志凡. "An Image Enhancement Method Based on Bilateral Filtering and Contrast Limited Adaptive Histogram Equalization." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/77m8t9.

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碩士<br>國立中正大學<br>資訊管理系研究所<br>104<br>At present, digital photography technology can’t be precisely presented as the scene seen by the human eye since the display device is typically low dynamic range rather than high dynamic range. In other words, the devices are often unable to display the details of shadows and highlights at the same time for high contrast images. If a normal image enhancement method is used to enhance these images, it may result in uneven distribution of image brightness, color distortion or loss of image detail information. Therefore, this study proposes a method to resolve

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7

Jhan, Shih-Sian, and 詹士賢. "Sobel Histogram Equalization for Image Contrast Enhancement." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/76534008994939627485.

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碩士<br>立德管理學院<br>應用資訊研究所<br>95<br>Contrast enhancement is an important technique for image processing. Although many contrast enhancement methods had been proposed, these designed methods do not focus on the edge quality of image. In this study, the sobel histogram equalization (SHE) is proposed to enhance the contrast of image. In SHE, the image is divided into two regions, edge and non-edge, by using the sobel edge detector. The contrast of these two regions can be individually enhanced, and then these two regions can be merged into a whole image by the histogram equalization. In our experime

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8

Fan, Chao. "Real-time facial expression analysis : a thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Ph.D.) in Computer Science at Massey University, Auckland, New Zealand." 2008. http://hdl.handle.net/10179/762.

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As computers have become more and more advanced, with even the most basic computer capable of tasks almost unimaginable only a decade ago, researchers and developers are focusing on improving the way that computers interact with people in their everyday lives. A core goal, therefore, is to develop a computer system which can understand and react appropriately to natural human behavior. A key requirement for such a system is the ability to automatically, and in real time, recognises human facial expressions. In addition, this must be successfully achieved regardless of the inherent differences

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9

Lin, Jia-Hwa, and 林佳華. "Edge Preserving for Contrast Enhancement Based on Histogram Equalization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/37428206236087680201.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>98<br>This thesis provides a new method that preserves edge with contrast enhancement for color images. It is based on edge-based histogram method with in different from traditional histogram-based equalizations. Our method not only has good contrast enhancement effect but also avoids artifact. Fist, we use Sobel operator to detect edges and be use them to update the histogram. Base on updated histogram, the new transformation function is generated. Experimental results show that the proposed method is better than past methods in image quality.

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10

Hsieh, Wen-lung, and 謝文龍. "Study of global contrast enhancement by adaptive histogram equalization." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/64296881409979898418.

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碩士<br>雲林科技大學<br>電機工程系碩士班<br>98<br>HDR image of the formation of two approaches, one relying on pieces of the same image with different exposure and then re-capture the visual details of the composition of a single image; Second, contrast is used to expand a single image and then compressed into a high dynamic contrast of the image . Available in only a single high dynamic range images, how to make low-contrast display can honestly show their beautiful natural scenes? In general there are two methods for using a simple contrast change quickly get results, but may lose the bright part or shadow

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11

Yu, Chieh-chun, and 余杰群. "Speed-Up Parametric-Oriented and Contast Limited Histogram Equalization." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/6964bw.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>102<br>In this thesis, Two regional contrast enhancement schemes are proposed. The first one, termed adaptive parametric-oriented histogram equalization (APOHE), is proposed to effectively generate artifact-free regional contrast enhanced images. First, the grayscale histogram of a specific region is modeled with multiple Gaussian distributions adjusted by two user-defined parameters (α,β) for yielding good contrast. In which, to improve processing efficiency, the required mean and variance of these Gaussian distributions can be rapidly derived through the concept of

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12

Chan, Ai-Ju, and 詹璦如. "Automatic Equal-Separated Histogram Equalization for High-Quality Contrast Enhancement." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/4c5mx6.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>99<br>Histogram equalization is an effective technique for contrast enhancement. However, the traditional histogram equalization (HE) method usually results in extreme over-enhancement, which causes the unnatural look and visual artifacts in the processed image. In this thesis, we propose a novel histogram equalization method based on the automatic histogram separation along with the piecewise transformation function. The five enhanced methods including HE, BBHE, DSIHE, RSIHE, and the proposed method are implemented by C language for comparison. We firstly analyse th

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13

Ting-ChouTsai and 蔡定洲. "A Weight-Based Contrast Enhancement Algorithm by Clustered Histogram Equalization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/58774256714086442447.

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14

Chen, Shin-Anne, and 陳信安. "Exposure-based Weighted Dynamic Histogram Equalization for Image Contrast Enhancement." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/8rpdc8.

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碩士<br>國立臺北科技大學<br>自動化科技研究所<br>103<br>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. To overcome these problems, many studies have been conducted based on partitioned-histogram (i.e., sub-histogram) equalization. An input image is first divided into sub-images, individual histograms of the sub-images are equalized independently, and all of the sub-images are ultimately integrated into one complete image. For example, exposure-based sub-im

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15

Lin, Ping-Hsien, and 林秉賢. "Contrast Enhancement for Digital Color Images Using Variants of Histogram Equalization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/44473391439777502972.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>97<br>With the prevalence of digital photographing nowadays, more and more consumer electronic devices are installed with photo-shooting functionalities. Most equipment, somehow, is not intended for professional use of photographing, and hence components for this purpose are not delicate enough under economical considerations. This produces pictures that are not fairly acceptable under some extreme shooting conditions, like low-contrasting images, and has to rely on post-processing techniques to improve the quality of these images. In this thesis, we propose two pr

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16

Li, Wei-Jia, and 李尉嘉. "Enhancing Low-exposure Images Based on Modified Histogram Equalization and Local Contrast Adaptive Enhancement." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/03340322721691697800.

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碩士<br>國立中興大學<br>資訊科學與工程學系<br>104<br>Image enhancement methods can effectively improve the visual contents of images, provide us with the better visual experience, and make the computer work more efficiently on images. Therefore, enhanced images tend to be more suitable than original images from the perspective of a particular application. Two common drawbacks usually exist in traditional image enhancement methods: one is over-enhancement and the other is loss of details. In this thesis, we propose an adaptive method to enhance the illumination of color images. The method consists of

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17

Βλαχοκώστα, Αλεξάνδρα. "Ανάπτυξη τεχνικών επεξεργασίας ιατρικών δεδομένων και συστημάτων υποστήριξης της διάγνωσης στη γυναικολογία". Thesis, 2014. http://hdl.handle.net/10889/8537.

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Η αυτόματη επεξεργασία εικόνων του ενδομητρίου αποτελεί ένα δύσκολο και πολυδιάστατο πρόβλημα, το οποίο έχει απασχολήσει πλήθος ερευνητών και για το οποίο έχει αναπτυχθεί μεγάλος αριθμός τεχνικών. Στην παρούσα διατριβή, παρουσιάζεται μια μεθοδολογική προσέγγιση, η οποία βασίζεται στη χρήση αλγορίθμων ψηφιακής επεξεργασίας και ανάλυσης εικόνων, για την αυτόματη εκτίμηση χαρακτηριστικών που περιγράφουν την αγγείωση και την υφή εικόνων του ενδομητρίου. Αφορμή της μελέτης αποτελεί ο ρόλος που διαπιστώνεται ότι διαδραματίζει η μεταβολή των τιμών των εν λόγω χαρακτηριστικών στην έγκαιρη διάγνωση τ

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