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

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

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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.

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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
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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.

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<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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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Anan, Sabiha, Mohammad Ibrahim Khan, Mir Md Saki Kowsar, Kaushik Deb, Pranab Kumar Dhar, and Takeshi Koshiba. "Image Defogging Framework Using Segmentation and the Dark Channel Prior." Entropy 23, no. 3 (2021): 285. http://dx.doi.org/10.3390/e23030285.

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Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision. The Dark Channel Prior (DCP) technique is a very promising defogging technique due to excellent restoring results for images containing no homogeneous region. However, having a large homogeneous region such as sky region, the restored images suffer from color distortion and block effects. Thus, to overcome the limitation of DCP method, we introduce a framework which is based on sky and non-sky
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Sumathi R. and Venkatesulu Mandadi. "Towards Better Segmentation of Abnormal Part in Multimodal Images Using Kernel Possibilistic C Means Particle Swarm Optimization With Morphological Reconstruction Filters." International Journal of E-Health and Medical Communications 12, no. 3 (2021): 55–73. http://dx.doi.org/10.4018/ijehmc.20210501.oa4.

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The authors designed an automated framework to segment tumors with various image sequences like T1, T2, and post-processed MRI multimodal images. Contrast-limited adaptive histogram equalization method is used for preprocessing images to enhance the intensity level and view the tumor part clearly. With the combination of kernel possibilistic c means clustering with particle swarm optimization technique, a tumor part is segmented, and morphological filters are applied to remove the unrelated outlier pixels in the segmented image to detect the accurate tumor part. The authors collected various i
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Tan, Tian-Swee, M. A. As'ari, Wan Hazabbah Wan Hitam, Qi Zhe Ngoo, Matthias Tiong Foh thye, and Kelvin Ling Chia hiik. "Cotton-wool spots, red-lesions and hard-exudates distinction using CNN enhancement and transfer learning." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 1170. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp1170-1179.

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<div>The automatic retinal disease diagnosis by artificial intelligent is an interesting and challenging topic in the medical field. It requires an appropriate image enhancement technique and a sufficient training dataset for the specific retina conditions. The aim of this study was to design an automatic diagnosis convolutional neural network (CNN) model which does not require a large training dataset to specifically identify diabetic retinopathy symptoms, which are cotton wool, exudates spots and red lesionin colour fundus pictures. A novel framework comprised image enhancement method
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Khehra, Baljit Singh, and Amar Partap Singh Pharwaha. "DIGITAL MAMMOGRAM ENHANCEMENT USING KAPUR MEASURE OF ENTROPY AND MATHEMATICAL MORPHOLOGY." Biomedical Engineering: Applications, Basis and Communications 25, no. 03 (2013): 1350029. http://dx.doi.org/10.4015/s1016237213500294.

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Mammography is the most reliable, effective, low cost and highly sensitive method for early detection of breast cancer. Mammogram analysis usually refers to the processing of mammograms with the goal of finding abnormality presented in the mammogram. Mammogram enhancement is one of the most critical tasks in automatic mammogram image analysis. Main purpose of mammogram enhancement is to enhance the contrast of details and subtle features while suppressing the background heavily. In this paper, a hybrid approach is proposed to enhance the contrast of microcalcifications while suppressing the ba
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Gajula, Srinivasarao, and V. Rajesh. "MRI Brain Image Segmentation by Fully Convectional U-Net." Revista Gestão Inovação e Tecnologias 11, no. 1 (2021): 6035–42. http://dx.doi.org/10.47059/revistageintec.v11i1.1877.

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When there is rapid growth in the research, and it will lead to use off large amount of data to get accurate results. When you are having large number of data then we require new techniques that will gives better performance in processing. The segmentation of a brain tumour is critical for both treatment and prevention. Various researchers proposed different neural network architectures to get better performance in segmentation of the brain tumour. processing this huge data is challenging and time taking process for computational and analysis. In this paper we are discussing about image segmen
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Bendjillali, Ridha Ilyas, Mohammed Beladgham, Khaled Merit, and Abdelmalik Taleb-Ahmed. "Illumination-robust face recognition based on deep convolutional neural networks architectures." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 1015. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp1015-1027.

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<p><span>In the last decade, facial recognition techniques are considered the most important fields of research in biometric technology. In this research paper, we present a Face Recognition (FR) system divided into three steps: The Viola-Jones face detection algorithm, facial image enhancement using Modified Contrast Limited Adaptive Histogram Equalization algorithm (M-CLAHE), and feature learning for classification. For learning the features followed by classification we used VGG16, ResNet50 and Inception-v3 Convolutional Neural Networks (CNN) architectures for the proposed system.
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Jadoon, M. Mohsin, Qianni Zhang, Ihsan Ul Haq, Sharjeel Butt, and Adeel Jadoon. "Three-Class Mammogram Classification Based on Descriptive CNN Features." BioMed Research International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3640901.

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In this paper, a novel classification technique for large data set of mammograms using a deep learning method is proposed. The proposed model targets a three-class classification study (normal, malignant, and benign cases). In our model we have presented two methods, namely, convolutional neural network-discrete wavelet (CNN-DW) and convolutional neural network-curvelet transform (CNN-CT). An augmented data set is generated by using mammogram patches. To enhance the contrast of mammogram images, the data set is filtered by contrast limited adaptive histogram equalization (CLAHE). In the CNN-DW
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Kim, Kyuseok, Hyun-Woo Jeong, and Youngjin Lee. "Performance Evaluation of Dorsal Vein Network of Hand Imaging Using Relative Total Variation-Based Regularization for Smoothing Technique in a Miniaturized Vein Imaging System: A Pilot Study." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1548. http://dx.doi.org/10.3390/ijerph18041548.

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Vein puncture is commonly used for blood sampling, and accurately locating the blood vessel is an important challenge in the field of diagnostic tests. Imaging systems based on near-infrared (NIR) light are widely used for accurate human vein puncture. In particular, segmentation of a region of interest using the obtained NIR image is an important field, and research for improving the image quality by removing noise and enhancing the image contrast is being widely conducted. In this paper, we propose an effective model in which the relative total variation (RTV) regularization algorithm and co
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Pullaiah, Nagaraja, Dorai Venkatasekhar, Padarthi Venkatramana, and Balaraj Sudhakar. "Detection of Breast Cancer on Magnetic Resonance Imaging Using Hybrid Feature Extraction and Deep Neural Network Techniques." International Journal of Intelligent Engineering and Systems 13, no. 6 (2020): 229–40. http://dx.doi.org/10.22266/ijies2020.1231.21.

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Breast cancer is one of the most occurring cancers in women due to the uncontrolled growth of abnormal cells in the lobules or milk ducts. The treatment for the breast cancer at an early stage is important using Magnetic Resonance Imaging (MRI) which effectively measures the size of the cancer and also checks tumors in the opposite breast. The deposition of calcium components on the breast tissue is known as micro-calcifications. The calcium salts deposited in the breast are involved with the cancer and were not diagnosed accurately due to the low effectiveness of existing imaging technique na
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Khan, Khan Bahadar, Amir A. Khaliq, Muhammad Shahid, and Sheroz Khan. "AN EFFICIENT TECHNIQUE FOR RETINAL VESSEL SEGMENTATION AND DENOISING USING MODIFIED ISODATA AND CLAHE." IIUM Engineering Journal 17, no. 2 (2016): 31–46. http://dx.doi.org/10.31436/iiumej.v17i2.611.

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Retinal damage caused due to complications of diabetes is known as Diabetic Retinopathy (DR). In this case, the vision is obscured due to the damage of retinal tinny blood vessels of the retina. These tinny blood vessels may cause leakage which affect the vision and can lead to complete blindness. Identification of these new retinal vessels and their structure is essential for analysis of DR. Automatic blood vessels segmentation plays a significant role to assist subsequent automatic methodologies that aid to such analysis. In literature most of the people have used computationally hungry a st
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Sadak, Ferhat, Mozafar Saadat, and Amir Hajiyavand. "Vision-Based Sensor for Three-Dimensional Vibrational Motion Detection in Biological Cell Injection." Sensors 19, no. 23 (2019): 5074. http://dx.doi.org/10.3390/s19235074.

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Intracytoplasmic sperm injection (ICSI) is an infertility treatment where a single sperm is immobilised and injected into the egg using a glass injection pipette. Minimising vibration in three orthogonal axes is essential to have precise injector motion and full control during the egg injection procedure. Vibration displacement sensing using physical sensors in ICSI operation is challenging since the sensor interfacing is not practically feasible. This study proposes a non-invasive technique to measure the three-dimensional vibrational motion of the injection pipette by a single microscope cam
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Stimper, Vincent, Stefan Bauer, Ralph Ernstorfer, Bernhard Scholkopf, and Rui Patrick Xian. "Multidimensional Contrast Limited Adaptive Histogram Equalization." IEEE Access 7 (2019): 165437–47. http://dx.doi.org/10.1109/access.2019.2952899.

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Al-Azawi, Razi J., Nadia M. G. Al-Saidi, Hamid A. Jalab, Hasan Kahtan, and Rabha W. Ibrahim. "Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction." PeerJ Computer Science 7 (June 15, 2021): e553. http://dx.doi.org/10.7717/peerj-cs.553.

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The exponential growth in computer technology throughout the past two decades has facilitated the development of advanced image analysis techniques which aid the field of medical imaging. CT is a widely used medical screening method used to obtain high resolution images of the human body. CT has been proven useful in the screening of the virus that is responsible for the COVID-19 pandemic by allowing physicians to rule out suspected infections based on the appearance of the lungs from the CT scan. Based on this, we hereby propose an intelligent yet efficient CT scan-based COVID-19 classificati
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Abood, Loay Kadom. "Contrast enhancement of infrared images using Adaptive Histogram Equalization (AHE) with Contrast Limited Adaptive Histogram Equalization (CLAHE)." Iraqi Journal of Physics (IJP) 16, no. 37 (2018): 127–35. http://dx.doi.org/10.30723/ijp.v16i37.84.

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The objective of this paper is to improve the general quality of infrared images by proposes an algorithm relying upon strategy for infrared images (IR) enhancement. This algorithm was based on two methods: adaptive histogram equalization (AHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The contribution of this paper is on how well contrast enhancement improvement procedures proposed for infrared images, and to propose a strategy that may be most appropriate for consolidation into commercial infrared imaging applications.The database for this paper consists of night vision i
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Mustafa, Ahmed A., and Ahmed AK Tahir. "Improving the Performance of Finger-Vein Recognition System Using A New Scheme of Modified Preprocessing Methods." Academic Journal of Nawroz University 9, no. 3 (2020): 397. http://dx.doi.org/10.25007/ajnu.v9n3a855.

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This paper aims at improving the performance of finger-vein recognition system using a new scheme of image preprocessing. The new scheme includes three major steps, RGB to Gray conversion, ROI extraction and alignment and ROI enhancement. ROI extraction and alignment includes four major steps. First, finger-vein boundaries are detected using two edge detection masks each of size (4 x 6). Second, the correction for finger rotation is done by calculating the finger base line from the midpoints between the upper and lower boundaries using least square method. Third, ROI is extracted by cropping a
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Sen, Baha, Kemal Akyol, Safak Bayir, and Hilal Kaya. "Automated detection of optic disc in retinal fundus images using gabor filter kernels." Global Journal of Computer Science 5, no. 1 (2015): 36. http://dx.doi.org/10.18844/gjcs.v5i1.32.

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<p>Identifying the position of the optic disc on the retinal fundus image is a technique that is often used in medical diagnosis, treatment and monitoring processes. Determination of the intensity of the bright colors that belongs to the optic disc on a normal retinal image by the help of image processing algorithms is a fairly easy process. However, determining the optic disc on a retinal image including the diabetic retinopathy disease is a more difficult process. The reason for this difficulty is the existence of many regions that have the same light intensity in different parts of th
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Baso, Budiman, and Nanik Suciati. "Temu Kembali Citra Tenun Nusa Tenggara Timur menggunakan Esktraksi Fitur yang Robust terhadap Perubahan Skala, Rotasi, dan Pencahayaan." Jurnal Teknologi Informasi dan Ilmu Komputer 7, no. 2 (2020): 349. http://dx.doi.org/10.25126/jtiik.2020722002.

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<p class="Abstrak">Ragam motif pada tenun Nusa Tenggara Timur (NTT) seperti flora, fauna dan geometris menjadi suatu keunikan yang dapat membedakan daerah asal dan jenis dari tenun tersebut. Pada penelitian ini, sistem temu kembali citra berbasis isi atau <em>Content-Based Image Retrieval</em> (CBIR) diimplementasikan pada citra tenun NTT sehingga user dapat mencari citra tenun pada <em>database</em> menggunakan citra <em>query </em>berdasarkan fitur visual yang terkandung dalam citra. Seringkali citra <em>query</em> yang diinputkan <em&
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Jadhav, Ambaji S., Pushpa B. Patil, and Sunil Biradar. "Computer-aided diabetic retinopathy diagnostic model using optimal thresholding merged with neural network." International Journal of Intelligent Computing and Cybernetics 13, no. 3 (2020): 283–310. http://dx.doi.org/10.1108/ijicc-11-2019-0119.

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PurposeDiabetic retinopathy (DR) is a central root of blindness all over the world. Though DR is tough to diagnose in starting stages, and the detection procedure might be time-consuming even for qualified experts. Nowadays, intelligent disease detection techniques are extremely acceptable for progress analysis and recognition of various diseases. Therefore, a computer-aided diagnosis scheme based on intelligent learning approaches is intended to propose for diagnosing DR effectively using a benchmark dataset.Design/methodology/approachThe proposed DR diagnostic procedure involves four main st
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Chang, Yakun, Cheolkon Jung, Peng Ke, Hyoseob Song, and Jungmee Hwang. "Automatic Contrast-Limited Adaptive Histogram Equalization With Dual Gamma Correction." IEEE Access 6 (2018): 11782–92. http://dx.doi.org/10.1109/access.2018.2797872.

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Lawton, Sahil, and Serestina Viriri. "Detection of COVID-19 from CT Lung Scans Using Transfer Learning." Computational Intelligence and Neuroscience 2021 (April 8, 2021): 1–14. http://dx.doi.org/10.1155/2021/5527923.

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This paper aims to investigate the use of transfer learning architectures in the detection of COVID-19 from CT lung scans. The study evaluates the performances of various transfer learning architectures, as well as the effects of the standard Histogram Equalization and Contrast Limited Adaptive Histogram Equalization. The findings of this study suggest that transfer learning-based frameworks are an alternative to the contemporary methods used to detect the presence of the virus in patients. The highest performing model, the VGG-19 implemented with the Contrast Limited Adaptive Histogram Equali
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Nurhidayah, Bannu Abdul Samad, and Bualkar Abdullah. "Perbandingan Metode Contrast Enhancement pada Citra CT-Scan Kanker Paru-paru." Gravitasi 19, no. 2 (2020): 24–28. http://dx.doi.org/10.22487/gravitasi.v19i2.15360.

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Abstrak:
 Di Indonesia kanker paru menjadi penyebab kematian kedua setelah kanker payudara. Angka mortalitas yang cukup tinggi, maka penentuan diagnosis lebih awal memegang peranan yang sangat penting dalam manajemen terapi. Kelemahan CT-Scan dalam mendiagnosa kanker paru-paru disebabkan oleh kontras citra yang rendah dan derau pada citra. Pada penelitian ini akan membandingkan metode contrast enhancement berbasis histogram equalization dan contrast limited adaptive histogram equalization untuk meningkatkan kualitas citra dengan menggunakan software Matlab. Namun, sebelumnya dilakukan red
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Magudeeswaran, V., and J. Fenshia Singh. "Contrast limited fuzzy adaptive histogram equalization for enhancement of brain images." International Journal of Imaging Systems and Technology 27, no. 1 (2017): 98–103. http://dx.doi.org/10.1002/ima.22214.

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Yu, Cheng-Yi, Hsueh-Yi Lin, and Tzu-Wei Yu. "Modulated AIHT Image Contrast Enhancement Algorithm based on Contrast-Limited Adaptive Histogram Equalization." Applied Mathematics & Information Sciences 7, no. 2L (2013): 449–54. http://dx.doi.org/10.12785/amis/072l10.

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Gupta, Shubhanshi, Ashutosh Gupta, and Gagan Minocha. "Image Enhancement based on Contrast Enhancement & Fuzzification Histogram Equalization and Comparison with Contrast Enhancement Techniques." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 7, no. 2 (2013): 594–99. http://dx.doi.org/10.24297/ijct.v7i2.3461.

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Contrast Enhancement is a technique which comes into the part of Image Enhancement. Contrast Enhancement is used to enhance the visual quality of any captured or other image. Contrast Enhancement can be performed with the help of Histogram equalization (HE). In this technique, the image is collected in the gray scale allocation. The image is then partitioning and applying adaptive Histogram equalization (AHE). Fuzzy logic provides a set of logics which enhance the contrast and visibility of any image. In this technique, the visual quality and the contrast of image will change and then compare
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Min, Byong-Seok, and Tae-Kyung Cho. "A Novel Method of Determining Parameters for Contrast Limited Adaptive Histogram Equalization." Journal of the Korea Academia-Industrial cooperation Society 14, no. 3 (2013): 1378–87. http://dx.doi.org/10.5762/kais.2013.14.3.1378.

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A., Thamizharasi, and Jayasudha J.S. "AN ILLUMINATION INVARIANT FACE RECOGNITION BY ENHANCED CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION." ICTACT Journal on Image and Video Processing 06, no. 04 (2016): 1258–66. http://dx.doi.org/10.21917/ijivp.2016.0183.

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Baek, Jiyeon, Yejin Kim, Byungjin Chung, and Changhoon Yim. "Linear Spectral Clustering with Contrast-limited Adaptive Histogram Equalization for Superpixel Segmentation." IEIE Transactions on Smart Processing & Computing 8, no. 4 (2019): 255–64. http://dx.doi.org/10.5573/ieiespc.2019.8.4.255.

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gamal, Aya M., H. I. Ashiba, Ghada ElBanby, Adel S. Elfishawy, Nabil A. Ismail, and Fathi E. Abd El-Samie. "Infrared Video Enhancement Using Contrast Limited Adaptive Histogram Equalization and Fuzzy Logic." Menoufia Journal of Electronic Engineering Research 28, no. 1 (2019): 231–36. http://dx.doi.org/10.21608/mjeer.2019.77373.

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Sasi, Neethu M., and V. K. Jayasree. "Contrast Limited Adaptive Histogram Equalization for Qualitative Enhancement of Myocardial Perfusion Images." Engineering 05, no. 10 (2013): 326–31. http://dx.doi.org/10.4236/eng.2013.510b066.

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Singh, Prerna, Ramakrishnan Mukundan, and Rex De Ryke. "Feature Enhancement in Medical Ultrasound Videos Using Contrast-Limited Adaptive Histogram Equalization." Journal of Digital Imaging 33, no. 1 (2019): 273–85. http://dx.doi.org/10.1007/s10278-019-00211-5.

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Suharyanto, Z. A. Hasibuan, P. N. Andono, D. Pujiono, and R. I. M. Setiadi. "Contrast Limited Adaptive Histogram Equalization for Underwater Image Matching Optimization use SURF." Journal of Physics: Conference Series 1803, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/1803/1/012008.

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42

Lee, Joonwhoan, Suresh Raj Pant, and Hee-Sin Lee. "An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement." International Journal of Fuzzy Logic and Intelligent Systems 15, no. 1 (2015): 35–44. http://dx.doi.org/10.5391/ijfis.2015.15.1.35.

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Wu, Shibin, Shaode Yu, Yuhan Yang, and Yaoqin Xie. "Feature and Contrast Enhancement of Mammographic Image Based on Multiscale Analysis and Morphology." Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/716948.

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A new algorithm for feature and contrast enhancement of mammographic images is proposed in this paper. The approach bases on multiscale transform and mathematical morphology. First of all, the Laplacian Gaussian pyramid operator is applied to transform the mammography into different scale subband images. In addition, the detail or high frequency subimages are equalized by contrast limited adaptive histogram equalization (CLAHE) and low-pass subimages are processed by mathematical morphology. Finally, the enhanced image of feature and contrast is reconstructed from the Laplacian Gaussian pyrami
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Sari, Ni Larasati Kartika, Maria Oktavianti, and Samsun Samsun. "Analisis Karakter Segmen Abnormal pada Citra Mamografi dengan Menggunakan Berbagai Metode Preprocessing Citra." Jurnal Ilmiah Giga 22, no. 1 (2020): 1. http://dx.doi.org/10.47313/jig.v22i1.737.

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Penelitian ini menganalisis pengaruh penerapan beberapa jenis algoritma preprocessing untuk mencari karakteristik segmen abnormal yang tampak pada citra mamografi. Mamografi merupakan pemeriksaan radiografi khusus payudara. Penerapan algoritma preprocessing yang terdiri dari metode filtering, contrast enhancement, sharpening, dan smoothing diharapkan dapat mengurangi noise dan meningkatkan kontras citra mamografi serta membantu ahli radiologi untuk melakukan diagnosis pada citra. Pada penelitian ini akan digunakan dua algoritma filtering yaitu median filter dan gaussian filter. Selain itu digu
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Ulutas, Guzin, and Beste Ustubioglu. "Underwater image enhancement using contrast limited adaptive histogram equalization and layered difference representation." Multimedia Tools and Applications 80, no. 10 (2021): 15067–91. http://dx.doi.org/10.1007/s11042-020-10426-2.

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Dar, Khursheed Ahmad, and Sumit Mittal. "An Enhanced Adaptive Histogram Equalization Based Local Contrast Preserving Technique for HDR Images." IOP Conference Series: Materials Science and Engineering 1022 (January 19, 2021): 012119. http://dx.doi.org/10.1088/1757-899x/1022/1/012119.

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Riadi, Aditya Akbar, Ahmad Abdul Chamid, and Akh Sokhibi. "ANALISIS KOMPARASI METODE PERBAIKAN KONTRAS BERBASIS HISTOGRAM EQUALIZATION PADA CITRA MEDIS." Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 8, no. 1 (2017): 383–88. http://dx.doi.org/10.24176/simet.v8i1.1026.

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Citra merupakan gambaran tentang karakteristik suatu obyek menurut kondisi variabel tertentu. Pengolahan citra bertujuan memperbaiki kualitas citra agar mudah diinterpretasi oleh manusia atau mesin (dalam hal ini komputer). Terdapat beberapa operasi di dalam pengolahan citra, salah satunya adalah perbaikan kontras yang pada dasarnya biasa digunakan untuk memunculkan bagian-bagian yang tidak terlihat (hidden feature) pada citra. Hasil citra dari rontgen yang tidak selalu memiliki kualitas citra yang baik, seperti halnya hasil citra x-ray yang terlalu gelap atau ada bagian tulang yang terlihat s
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Liu, Chengwei, Xiubao Sui, Xiaodong Kuang, Yuan Liu, Guohua Gu, and Qian Chen. "Adaptive Contrast Enhancement for Infrared Images Based on the Neighborhood Conditional Histogram." Remote Sensing 11, no. 11 (2019): 1381. http://dx.doi.org/10.3390/rs11111381.

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In this paper, an adaptive contrast enhancement method based on the neighborhood conditional histogram is proposed to improve the visual quality of thermal infrared images. Existing block-based local contrast enhancement methods usually suffer from the over-enhancement of smooth regions or the loss of some details. To address these drawbacks, we first introduce a neighborhood conditional histogram to adaptively enhance the contrast and avoid the over-enhancement caused by the original histogram. Then the clip-redistributed histogram of the contrast-limited adaptive histogram equalization (CLAH
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Mat Raffei, Anis Farihan, Hishammuddin Asmuni, Rohayanti Hassan, and Razib M. Othman. "A low lighting or contrast ratio visible iris recognition using iso-contrast limited adaptive histogram equalization." Knowledge-Based Systems 74 (January 2015): 40–48. http://dx.doi.org/10.1016/j.knosys.2014.11.002.

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Aboshosha, Sahar, O. Zahran, Moawad I. Dessouky, and F. E. Abd El-Samie. "Resolution and quality enhancement of images using interpolation and contrast limited adaptive histogram equalization." Multimedia Tools and Applications 78, no. 13 (2019): 18751–86. http://dx.doi.org/10.1007/s11042-018-7022-1.

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