Relevant bibliographies by topics / Contrast Limited Adaptive Histogram Equalization technique

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Contrast Limited Adaptive Histogram Equalization technique'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Contrast Limited Adaptive Histogram Equalization technique.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Contrast Limited Adaptive Histogram Equalization technique"

1

Khan, Sajid Ali, Shariq Hussain, and Shunkun Yang. "Contrast Enhancement of Low-Contrast Medical Images Using Modified Contrast Limited Adaptive Histogram Equalization." Journal of Medical Imaging and Health Informatics 10, no. 8 (2020): 1795–803. http://dx.doi.org/10.1166/jmihi.2020.3196.

Full text
Abstract:
The low contrast medical images seriously affect the clinical diagnosis process. To improve the image quality, we propose an effective medical images contrast enhancement technique in this paper. Shear wavelet transformation is used for decomposition of image components into low-frequency and high-frequency. The low-frequency part contrast is adjusted by applying modified contrast limited adaptive histogram equalization (CLAHE). The resultant image is further processed through technique of fuzzy contrast enhancement to maintain the spectral information of an image. Results of the experimentati
APA, Harvard, Vancouver, ISO, and other styles
2

F. Alkhalid, Farah, Ahmed Mudher Hasan, and Ahmed A. Alhamady. "Improving radiographic image contrast using multi layers of histogram equalization technique." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 1 (2021): 151. http://dx.doi.org/10.11591/ijai.v10.i1.pp151-156.

Full text
Abstract:
<span id="docs-internal-guid-43432eef-7fff-9949-6deb-865191ff0740"><span>Usually, X-ray image has distortion in many parts because it is focusing on bones rather than other, However, when dentist needs to make decision analysis, he does that by using X-ray and many opinions can be judged by looking closely on it like (inflammation, infection, tooth nerve, root of the tooth…). This paper proposes on new suggested technique by applying multilayers of histogram equalization (HE) and contrast limited adaptive histogram equalization (CLAHE) in order to make high contrast of X-ray, this
APA, Harvard, Vancouver, ISO, and other styles
3

Román, Julio César Mello, Vicente R. Fretes, Carlos G. Adorno, et al. "Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology." Sensors 21, no. 9 (2021): 3110. http://dx.doi.org/10.3390/s21093110.

Full text
Abstract:
Panoramic dental radiography is one of the most used images of the different dental specialties. This radiography provides information about the anatomical structures of the teeth. The correct evaluation of these radiographs is associated with a good quality of the image obtained. In this study, 598 patients were consecutively selected to undergo dental panoramic radiography at the Department of Radiology of the Faculty of Dentistry, Universidad Nacional de Asunción. Contrast enhancement techniques are used to enhance the visual quality of panoramic dental radiographs. Specifically, this artic
APA, Harvard, Vancouver, ISO, and other styles
4

Mapayi, Temitope, Serestina Viriri, and Jules-Raymond Tapamo. "Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques." Computational and Mathematical Methods in Medicine 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/895267.

Full text
Abstract:
Due to noise from uneven contrast and illumination during acquisition process of retinal fundus images, the use of efficient preprocessing techniques is highly desirable to produce good retinal vessel segmentation results. This paper develops and compares the performance of different vessel segmentation techniques based on global thresholding using phase congruency and contrast limited adaptive histogram equalization (CLAHE) for the preprocessing of the retinal images. The results obtained show that the combination of preprocessing technique, global thresholding, and postprocessing techniques
APA, Harvard, Vancouver, ISO, and other styles
5

Harichandana, M., V. Sowmya, V. V. Sajithvariyar, and R. Sivanpillai. "COMPARISON OF IMAGE ENHANCEMENT TECHNIQUES FOR RAPID PROCESSING OF POST FLOOD IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-2-2020 (November 17, 2020): 45–50. http://dx.doi.org/10.5194/isprs-archives-xliv-m-2-2020-45-2020.

Full text
Abstract:
Abstract. 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. Numerous digital algorithms are available for enhancing such images and highlighting areas of interest. These algorithms range from simple to complex, and the time required to process these images also varies considerably. For disaster response, it is important to select an algorithm that can enhance the quality of the images in relatively short time. This study compared the relative performance of five traditional (Histogram Equa
APA, Harvard, Vancouver, ISO, and other styles
6

Maurya, Lalit, Prasant Kumar Mahapatra, and Amod Kumar. "A Fusion of Cuckoo Search and Multiscale Adaptive Smoothing Based Unsharp Masking for Image Enhancement." International Journal of Applied Metaheuristic Computing 10, no. 3 (2019): 151–74. http://dx.doi.org/10.4018/ijamc.2019070108.

Full text
Abstract:
Image enhancement means to improve the visual appearance of an image by increasing its contrast and sharpening the features. This article presents a fusion of cuckoo search optimization-based image enhancement (CS-IE) and multiscale adaptive smoothing based unsharping method (MAS-UM) for image enhancement. The fusion strategy is introduced to improve the deficiency of enhanced image that suppresses the saturation and over-sharpness artefacts in order to obtain a visually pleasing result. The ideology behind the selection of fusion images (candidate) is that one image should have high sharpness
APA, Harvard, Vancouver, ISO, and other styles
7

Attia, Salim J. "Assessment of Some Enhancement Methods of Renal X-ray Image." NeuroQuantology 18, no. 12 (2020): 01–05. http://dx.doi.org/10.14704/nq.2020.18.12.nq20231.

Full text
Abstract:
The study focuses on assessment of the quality of some image enhancement methods which were implemented on renal X-ray images. The enhancement methods included Imadjust, Histogram Equalization (HE) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The images qualities were calculated to compare input images with output images from these three enhancement techniques. An eight renal x-ray images are collected to perform these methods. Generally, the x-ray images are lack of contrast and low in radiation dosage. This lack of image quality can be amended by enhancement process. Three q
APA, Harvard, Vancouver, ISO, and other styles
8

Ahmed, Mona A., and Abdel-Badeeh M. Salem. "Intelligent Technique for Human Authentication using Fusion of Finger and Dorsal Hand Veins." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 18 (July 9, 2021): 91–101. http://dx.doi.org/10.37394/23209.2021.18.12.

Full text
Abstract:
Multimodal biometric systems have been widely used to achieve high recognition accuracy. This paper presents a new multimodal biometric system using intelligent technique to authenticate human by fusion of finger and dorsal hand veins pattern. We developed an image analysis technique to extract region of interest (ROI) from finger and dorsal hand veins image. After extracting ROI we design a sequence of preprocessing steps to improve finger and dorsal hand veins images using Median filter, Wiener filter and Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance vein image. Our sma
APA, Harvard, Vancouver, ISO, and other styles
9

S. Magar, Satyawati, and Bhavani Sridharan. "Optimization Before Biomedical Image Compression Using CLAHE and DCS." International Journal of Engineering & Technology 7, no. 3.27 (2018): 236. http://dx.doi.org/10.14419/ijet.v7i3.27.17884.

Full text
Abstract:
In current years, improving the Compression Ratio (CR) in medical imaging is essential and becomes big challenge in the field of biomedical. In that direction we have done optimization before biomedical image compression. For the same we have used the image enhancement techniques. For the enhancement of an image we have used Contrast Limited Adaptive Histogram Equalization (CLAHE) and Decorrelation Stretch (DCS) algorithms. By optimizing an image before compression we have achieved better Compression Ratio (CR) and Peak Signal to Noise Ratio (PSNR) than existing methods of an image compression
APA, Harvard, Vancouver, ISO, and other styles
10

Maharnisha, Gandla, R. Veerasundari, Gandla Roopesh Kumar, and Arunraj . "Improving the Spatial Resolution of Real Time Satellite Image Fusion Using 2D Curvelet Transform." International Journal of Engineering & Technology 7, no. 2.19 (2018): 55. http://dx.doi.org/10.14419/ijet.v7i2.19.15047.

Full text
Abstract:
The fused image will have structural details of the higher spatial resolution panchromatic images as well as rich spectral information from the multispectral images. Before fusion, Mean adjustment algorithm of Adaptive Median Filter (AMF) and Hybrid Enhancer (combination of AMF and Contrast Limited Adaptive Histogram Equalization (CLAHE)) are used in the pre-processing. Here, conventional Principal Component image fusion method will be compared with newly modified Curvelet transform image fusion method. Principal Component fusion technique will improve the spatial resolution but it may produce
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Contrast Limited Adaptive Histogram Equalization technique"

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
4

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

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Contrast Limited Adaptive Histogram Equalization technique"

1

Mohan, Shelda, and M. Ravishankar. "Modified Contrast Limited Adaptive Histogram Equalization Based on Local Contrast Enhancement for Mammogram Images." In Mobile Communication and Power Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35864-7_60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Garima Yadav, Saurabh Maheshwari, and Anjali Agarwal. "Multi-domain Image Enhancement of Foggy Images Using Contrast Limited Adaptive Histogram Equalization Method." In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2638-3_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Muneeswaran, V., and M. Pallikonda Rajasekaran. "Local Contrast Regularized Contrast Limited Adaptive Histogram Equalization Using Tree Seed Algorithm—An Aid for Mammogram Images Enhancement." In Smart Intelligent Computing and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1921-1_67.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zuiderveld, Karel. "Contrast Limited Adaptive Histogram Equalization." In Graphics Gems. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-12-336156-1.50061-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sood, Neetu, Indu Saini, Tarannum Awasthi, Milin Kaur Saini, Parul Bhoriwal, and Tanveer Kaur. "Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8085-0.ch003.

Full text
Abstract:
In this chapter, different approaches are presented for removal of fog from video footage taken in moving cars. The methodology uses different approaches, namely dark channel prior, contrast limited adaptive histogram equalization (CLAHE), the combination of two approaches (dark channel prior and CLAHE), and RETINEX algorithm combined with DWT. The algorithms are implemented in MATLAB R2015a. Moreover, the algorithms are compared based on their computational complexity and a visibility metric which is used for computing the CNR of video frames before and after the application of the algorithm. The chapter discusses which algorithm would provide better performance during night fog and daylight fog. Finally, the safe speed of the driver is calculated based on the time complexity of the algorithm used.
APA, Harvard, Vancouver, ISO, and other styles
6

Dhal, Krishna Gopal, Swarnajit Ray, Mandira Sen, and Sanjoy Das. "Proper Enhancement and Segmentation of the Overexposed Color Skin Cancer Image." In Advances in Multimedia and Interactive Technologies. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5246-8.ch009.

Full text
Abstract:
Proper enhancement and segmentation of the overexposed color skin cancer images is a great challenging task in medical image processing field. Computer-aided diagnosis (CAD) facilitates quantitative analysis of digital images with a high throughput processing rate. But, analysis of CAD purely depends on the input image quality. Therefore, in this study, overexposed and washed out skin cancer images are enhanced properly with the help of exact hue-saturation-intensity (eHSI) color model and contrast limited adaptive histogram equalization (CLAHE) method which is applied through this model. eHSI color model is hue preserving and gamut problem free. Any gray level image enhancement method can be easily employed for color image through this eHSI model. The segmentation of these enhanced color images has been done by employing one unsupervised clustering approach with the assistance of seven different gray level thresholding methods. Comparison of the segmentation efficiency of gray level thresholding methods has been done in the cases of overexposed as well as for enhanced images.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Contrast Limited Adaptive Histogram Equalization technique"

1

Vidhya, Ganesh R., and H. Ramesh. "Effectiveness of Contrast Limited Adaptive Histogram Equalization Technique on Multispectral Satellite Imagery." In ICVIP 2017: International Conference on Video and Image Processing. ACM, 2017. http://dx.doi.org/10.1145/3177404.3177409.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sahani, Mrutyunjaya, Susant Kumar Rout, Latit Mohan Satpathy, and Abhilash Patra. "Design of an embedded system with modified contrast limited adaptive histogram equalization technique for real-time image enhancement." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322900.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Khan, M. Nazmuzzaman, and Sohel Anwar. "Robust Weed Recognition Through Color Based Image Segmentation and Convolution Neural Network Based Classification." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11077.

Full text
Abstract:
Abstract Current image classification techniques for weed detection (classic vision techniques and deep-neural net) provide encouraging results under controlled environment. But most of the algorithms are not robust enough for real-world application. Different lighting conditions and shadows directly impact vegetation color. Varying outdoor lighting conditions create different colors, noise levels, contrast and brightness. High component of illumination causes sensor (industrial camera) saturation. As a result, threshold-based classification algorithms usually fail. To overcome this shortfall,
APA, Harvard, Vancouver, ISO, and other styles
4

Chelsy Sapna Josephus and S. Remya. "Multilayered Contrast Limited Adaptive Histogram Equalization Using Frost Filter." In 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2011. http://dx.doi.org/10.1109/raics.2011.6069388.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Fullerton, Anne M., Thomas C. Fu, David A. Drazen, and Don C. Walker. "Analysis Methods for Vessel Generated Spray." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31313.

Full text
Abstract:
The droplet sizes and velocities contained in vessel generated spray are difficult to quantify. This paper describes three different methods to quantify velocity and size distributions from high speed video of spray from a planing boat. These methods include feature tracking, displacement tracking and video inversion. For the feature tracking method, the images were preprocessed using contrast limited adaptive histogram equalization, and then converted to binary images with a specific intensity cutoff level. Image statistics were then generated from this image, including droplet area and effec
APA, Harvard, Vancouver, ISO, and other styles
6

Hitam, M. S., Wan Nural Jawahir Hj Wan Yussof, Ezmahamrul Afreen Awalludin, and Z. Bachok. "Mixture contrast limited adaptive histogram equalization for underwater image enhancement." In 2013 International Conference on Computer Applications Technology (ICCAT 2013). IEEE, 2013. http://dx.doi.org/10.1109/iccat.2013.6522017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Unal, Burak, and Ali Akoglu. "Resource efficient real-time processing of Contrast Limited Adaptive Histogram Equalization." In 2016 26th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2016. http://dx.doi.org/10.1109/fpl.2016.7577362.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kokufuta, Kentaro, and Tsutomu Maruyama. "Real-Time Processing of Contrast Limited Adaptive Histogram Equalization on FPGA." In 2010 International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2010. http://dx.doi.org/10.1109/fpl.2010.37.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Xu, Zhiyuan, Xiaoming Liu, and Na Ji. "Fog Removal from Color Images using Contrast Limited Adaptive Histogram Equalization." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5301485.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Jintasuttisak, Thani, and Sathit Intajag. "Color retinal image enhancement by Rayleigh contrast-limited adaptive histogram equalization." In 2014 14th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2014. http://dx.doi.org/10.1109/iccas.2014.6987868.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Contrast Limited Adaptive Histogram Equalization technique' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography