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Dissertations / Theses on the topic 'Hazy images'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Arigela, Sai Babu. "A Self Tunable Transformation Function for Enhancement of Images Captured in Complex Lighting and Hazy Weather Conditions." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1449185835.

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2

Zhao, Nilu. "Haze measurements through image analysis." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92216.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 28).<br>In the recent years, Singapore has been affected by haze caused by slash-and-bum fires in Indonesia. Currently, haze concentration is measured by filtering air samples at various stations in Singapore. In this thesis, optical approaches to haze measurements are explored. Images of haze were taken in fifteen minute intervals in June, 2013. These images were analyzed to obtain image contrast, and power spect

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Basinger, John A. "Grain Boundary Character Distribution in the HAZ of Friction Stir-Processed Al 7075 T7." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1046.pdf.

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Pettersson, Niklas. "GPU-Accelerated Real-Time Surveillance De-Weathering." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97401.

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A fully automatic de-weathering system to increase the visibility/stability in surveillance applications during bad weather has been developed. Rain, snow and haze during daylight are handled in real-time performance with acceleration from CUDA implemented algorithms. Video from fixed cameras is processed on a PC with no need of special hardware except an NVidia GPU. The system does not use any background model and does not require any precalibration. Increase in contrast is obtained in all haze/rain/snow-cases while the system lags the maximum of one frame during rain or snow removal. De-hazi

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Francis, John W. "Pixel-by pixel reduction of atmospheric haze effects in multispectral digital imagery of water /." Online version of thesis, 1989. http://hdl.handle.net/1850/11359.

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6

Toro, León Paulina Fernanda. "Preferencias por imagen sialográfica adquirida con radiografía panorámica digital y con tomografía computarizada de haz cónico." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/117298.

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Trabajo de Investigación Requisito para optar al Título de Cirujano Dentista<br>Autor no autoriza el acceso a texto completo de su tesis en el Portal de Tesis Electrónicas<br>ntroducción: La sialografía mediante Tomografía Computarizada de Haz Cónico (TCHC) ha presentado un interés creciente de la comunidad internacional de especialistas radiólogos en los últimos cinco años. En este contexto se pretendió determinar la preferencia de un grupo de especialistas en Radiología Oral y Maxilofacial entre la imagen sialográfica obtenida mediante Radiografía Panorámica Digital (RPD) y aquella ob

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Abbott, Joshua E. "Interactive Depth-Aware Effects for Stereo Image Editing." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3712.

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This thesis introduces methods for adding user-guided depth-aware effects to images captured with a consumer-grade stereo camera with minimal user interaction. In particular, we present methods for highlighted depth-of-field, haze, depth-of-field, and image relighting. Unlike many prior methods for adding such effects, we do not assume prior scene models or require extensive user guidance to create such models, nor do we assume multiple input images. We also do not require specialized camera rigs or other equipment such as light-field camera arrays, active lighting, etc. Instead, we use only a

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Zepeda, Barrios Alejandro. "Evaluación de la Evolución Temporal en Tumores Pulmonares Tratados con Radioterapia Estereotáctica Corporal a partir de Rasgos Extraídos de las Imágenes de Tomografía Computarizada con Haz Cónico." Tesis de maestría, Universidad Autónoma del Estado de México, 2021. http://hdl.handle.net/20.500.11799/111960.

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Tesis de maestría<br>En los tratamientos de radioterapia estereotáctica corporal (SBRT) es cada vez más común el uso de sistemas de tomografía computarizada por haz cónico (CBCT) montados en los aceleradores lineales, para la adquisición de imágenes tomográficas que son utilizadas para la verificación y corrección -si es el caso- del posicionamiento del paciente durante el tratamiento. En radioterapia es de importancia mayúscula asegurar que la posición del paciente sea la deseada y en SBRT esto adquiere aún mayor importancia ya que la dosis absorbida utilizada en estos procedimientos es mayor

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Clark, Tad Dee. "An Analysis of Microstructure and Corrosion Resistance in Underwater Friction Stir Welded 304L Stainless Steel." Diss., BYU ScholarsArchive, 2005. http://contentdm.lib.byu.edu/ETD/image/etd872.pdf.

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Berny, Myriam. "High-temperature tests for ceramic matrix composites : from full-field regularised measurements to thermomechanical parameter identification." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST028.

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Cette thèse a pour objectif de développer une méthode de mesure de champs par corrélation d’images numériques (CIN) à haute température couplée à des mesures thermiques sur une éprouvette technologique en CMC sollicitée dans des conditions thermiques représentatives d’un environnement moteur et de mettre en place une méthodologie d’identification des propriétés thermiques et thermomécaniques du matériau, en quantifiant à chaque étape de la chaîne les incertitudes associées aux quantités d’intérêt et en les réduisant. Il a pour cela été nécessaire de traiter les défis inhérents à la CIN à chaud

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11

Wang, Wei-Jheng, and 王偉錚. "Visibility Restoration of Single Hazy Images Captured in Real-World Weather Conditions." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/pqcnf2.

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碩士<br>國立臺北科技大學<br>電腦與通訊研究所<br>101<br>The visibility of outdoor images captured in inclement weather will become degraded due to the presence of haze, fog, sandstorms, and so on. Poor visibility caused by atmospheric phenomenon in turn causes failure in computer vision applications, such as outdoor object recognition systems, obstacle detection systems, video surveillance systems, and intelligent transportation systems. In order to solve this problem, visibility restoration techniques have been developed and play an important role in many computer vision applications operating in various weathe

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Wang, Hui-Chih, and 王彙智. "Haze Removal in Daytime and Nighttime Scene and Simple Image Desmoking by Haze Image Model." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/dtz6cy.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>105<br>This thesis discusses about how hazy imaging model can be applied in many fields such as daytime dehazing, nighttime dehazing or moreover, image desmoking. The first part of the thesis is about some important existing daytime dehazing algorithm such as dark channel prior method, color line method, or negative correction model. These methods take different prior information to recover the non-hazy scene. According to these different priors, we can acquire different transmission maps and recovered results. Different priors will enhance different part of hazy im

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Wang, Chi-Wei, and 王麒瑋. "Haze Removal and Sky Detection Algorithms for Photo Images." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/19210975314288564041.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>103<br>Sky is one of the most significant subject matters commonly seen in outdoor photos. We propose a highly efficient sky detection algorithm. First we detect a rough sky-ground boundary. Second we calculate parameters related to the appearance of sky. Finally, we use these parameters on a probability model that indicates how possible a pixel is belong to sky. And an image processing library with parallel processing techniques is used to implement proposed algorithm. In a common desktop computer, a VGA size image only requires less than 35ms, which can be conside

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Cheng, Yi-Jui, and 鄭義瑞. "Efficient Single Hazy Image Visibility Enhancement in Widely Real-World Poor Weather." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/9k66cc.

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碩士<br>國立臺北科技大學<br>電腦與通訊研究所<br>101<br>The visibility of images of outdoor scenes will generally become degraded when captured during inclement weather conditions such as haze, fog, sandstorms, and so on. Additionally, localized light sources are common when capturing scenes in these conditions. Drivers often turn on the headlights of their vehicles, and streetlights are often activated. Sandstorms are particularly challenging due to the propensity of atmospheric sand to absorb specific portions of spectrum and thereby cause color-shift problems. Traditional state-of-the-art restoration techniqu

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Chen, Tzu-Chun, and 陳姿君. "Minmap-based Image and Video Haze Removal." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/67391462808578702266.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>103<br>A novel image and video haze removal method based on minmap is pro- posed in this paper. Minmap is defined as the channel which contains the minimal component of three RGB color channels. Because one image may contain many regions which differ in color, minmap contains different regions which show the different properties. Based on this observation, atmospheric light is estimated by region growing, dark channel prior and smooth filter we proposed separately for each minmap region. To compute veil, we estimate the whiteness based on minmap first. Then, median

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Jhou, Hou-Yu, and 周厚宇. "Image Haze Removal Using Computational Intelligence Methods." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/22352544333454728309.

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碩士<br>國立勤益科技大學<br>資訊工程系<br>102<br>The image quality will be reduced with the light attenuation by atmospheric particles when taking a photograph outdoors, especially in the environment with haze. Because the hazy images lose a lot of information, the image recognition systems cannot recognize the target in the image. In order to solve the problem of the image quality attenuation, there are two image dehazing methods proposed in this paper. To use the proposed fuzzy inference system is able to estimate the attenuation condition of the light. For the problem of the halo artifacts, this paper com

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17

SINGH, PRABH PREET. "DEHAZING USING LIFTING WAVELET AND LAPLACIAN MATTE." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15391.

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This work presents single image dehazing based on dark channel prior. Firstly, lifting haar wavelet has been used to decompose the hazy image into approximation and details. Then only the approximation component which is just one-fourth of the actual image dimension is further processed for dehazing. The dark channel prior used in the proposed work for dehazing is based on statistics of haze free images. The property that the intensity of dark channel gives approximate thickness of the haze is used to estimate the transmission and atmospheric light. Instead of constant airlight, proposed

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18

"Single image haze removal using dark channel prior." Thesis, 2011. http://library.cuhk.edu.hk/record=b6075337.

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But haze removal is highly challenging due to its mathematical ambiguity, typically when the input is merely a single image. In this thesis, we propose a simple but effective image prior, called dark channel prior, to remove haze from a single image. The dark channel prior is a statistical property of outdoor haze-free images: most patches in these images should contain pixels which are dark in at least one color channel. Using this prior with a haze imaging model, we can easily recover high quality haze-free images. Experiments demonstrate that this simple prior is powerful in various situati

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19

Fu, Yu-Hsiang, and 傅裕翔. "Single Image Based Removal of Haze and Rain." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/28009491543588011264.

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碩士<br>國立清華大學<br>電機工程學系<br>98<br>In general, we expect to receive vivid image, and further apply computer vision image processing on it. However, weather varies with time. Haze lowers hue saturation, degrades contrast, and affects recognition of human vision and computer vision. There exists many dehazing methods. Among them, the dark channel prior method displays impressive result, but it still cost 10~20 seconds for a 400*600 image. Therefore, we utilize it assumption and try to reduce its most time-consuming step while producing acceptable output. During the modification, we encounter the in

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20

陸姿蓉. "Perspective image editing with depth from the haze." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/53141590825781131582.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>97<br>In this thesis, we propose a method for perspective image editing with a single landscape image. Briefly, we use haze cues to recover the transmission and depth maps in order to move the target object and still keep the scene perspective projection and reasonable occlusion in the image.

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21

Huang, Chih-Hsiang, and 黃致翔. "Advanced lightweight-designed convolutional neural network for image processing: single image haze removal and underwater image restoration." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/895p6m.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>107<br>With the flourish development of deep learning in recent years, related application is expected to become the next-generation mainstream trend. The paper aims to propose deep learning algorithm with low complexity for image processing. We select two typical ill-posed image processing problems: single image haze removal and underwater image restoration, and deal with supervised learning and unsupervised learning, respectively. In the supervised learning framework for haze removal, we reformulate the dehazing problem as restoration of the image base component

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22

Mo, Dengkui. "Further Developing Processing Techniques of Optical Satellite Images in the Context of Forest Monitoring." Thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E47B-F.

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23

Tsai, Chia-Na, and 蔡佳娜. "Single Image Haze Removal Based on Transmittance of Different Light Components." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/80600276637055009836.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>99<br>Haze removal is highly desired in both computer vision applications and consumer photography. The presence of suspended particles in the atmosphere disturbs the transference of light and leads direct attenuation to a reflectance of scene radiance. When the incident light hit directly to these tiny particles, the scattered light called airlight which is covering over the reflectance of scene radiance and reaching human’s eyes or cameras forming a hazy scene or a foggy image. The haze-covered scene or images might lose details and have the color gloomy. To ad

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Chu, Shin-Chih, and 朱新智. "A study of MODIS Image Haze Removal and Ocean Internal Waves Detection." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/73582292235050280410.

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碩士<br>國立成功大學<br>地球科學系專班<br>96<br>The technology that modern satellite image obtains advances by leaps and bounds, though has offered unprecedented abundant amount of information. However, the external environment has caused the problem of image interpretation. There are many advantages for MODIS satellite image including the global coverage, receiving twice every day, and free cost etc. It has been accepted and applied by relevant earth scientists extensively. These study results benefit long-term global land, ocean, biosphere, and atmosphere monitoring. MODIS satellite image is a passive-ty

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Shiu, Yi-Shiang, and 徐逸祥. "Developing a technique for the detection and removal of cloud and haze in remote sensing images." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/75838186779058444511.

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碩士<br>國立臺灣大學<br>地理環境資源學研究所<br>94<br>Detection and removal of cloud and haze are arduous problems in optical remote sensing imagery processing. Thick cloud and haze have the character of high reflection, so we can set the threshold to detect and remove the areas having extremely high reflection and even mosaic the images with near dates’ ones to create clear and cloudless images. Relatively, areas covered by thin cloud and haze have the spectral characteristics of both surface features and cloud and haze, thus making it difficult to separate them. This research first processed the images wi

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HUANG, WEI-LIN, and 黃韋霖. "Image Haze Removal using Dark Channel Prior Technology with Adaptive Size of Mask." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ku7vww.

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碩士<br>朝陽科技大學<br>資訊工程系<br>107<br>Haze images not only reduce visual visibility, but also affect the effectiveness of image processing. Therefore, image dehazing technology is a very important technology in the field of computer vision. Among them, the representative method is the dark channel prior (DCP) dehazing technology propose by He et al. Since DCP is easy to produce halo after dehazing in some cases, this paper proposes an adaptive mask size DCP dehazing method (ADCP) to improve the halo phenomenon after DCP dehazing. This method based on the inverse of the gradient of the haze image and

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Wu, Bo-Yi, and 吳柏毅. "Design of a Haze Detection Algorithm and Hardware Implementation of an Image Dehazing Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/5y558p.

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碩士<br>國立雲林科技大學<br>電機工程系<br>103<br>This study aimed to explore how to remove haze from a single image effectively. On the hazy weather, we can't obtain the clearly and completely image of the original scene. Thus, how to effectively remove haze from images until the objects covered with haze can be recognized by human vision would be the issue for needed discussion in image processing. In the future, if the haze removal algorithm is practically applied to surveillance products as monitors, vehicle video recorders, cameras for other uses, and so on, the amounts of calculation will be taken into

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MA, ZHAOHUI, and 馬昭暉. "Enhanced Performance Enormously of Image Haze Removal of Optimized Contrast Enhancement Based on GPU." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/34507677917625761304.

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碩士<br>靜宜大學<br>資訊工程學系<br>103<br>In the domains of computer vision and graphical computation, image haze removal has been a significant issue. By the use of haze removal process, it can significantly improve the visibility of the scene in the image. However, most of the haze removal algorithms bring high computational cost and make algorithms failed in processing huge amount of images. In this paper, we propose a parallel image haze remove algorithm, adopting optimized contrast enhancement approach, to optimize the performance based on GPU platform. The optimization from the proposed algorithm o

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Yu-Shan, Chen, and 陳郁姍. "Single Image Haze Removal Using White-Patch Retinex Theory and Modified Dark Channel Prior." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/gb286a.

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碩士<br>國立中央大學<br>電機工程學系<br>106<br>In this paper, we propose a simple but effective method to remove haze from a single input image using white-patch retinex and modified dark channel prior. In this way, we can not only restore the hazy images but also overcome three problems caused by dark channel prior, which are the halo effect along depth discontinuities in recovered images, the color distortion is serious in some weather conditions and the time-consuming process. Finally, we compare our proposed method with the dark channel prior and analyze their pros and cons.

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Chen, Yan-An, and 陳彥安. "Haze/Smoke/Sand Removal and Image Enhancement Using Human Visual System Inspired Retina Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/m7d5jt.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>106<br>Poor visibility in bad weather is a major problem for many applications of computer vision such as outdoor object recognition, detection, tracking, intelligent vehicles and surveillance rely heavily on the quality of image scenes. However, bad weather conditions caused by suspending particles in the air, such as haze, sand, fog, dust, and smoke that have significant size and distribution in the participating medium. These conditions may significantly degrade the visibility of a scene due to the considerable presence of particles in the atmosphere that attenua

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