National Repository of Grey Literature 35 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
HDR Image Acquisition on Mobile Devices
Mik, Filip ; Musil, Martin (referee) ; Nosko, Svetozár (advisor)
This bachelor thesis deals with aquisition of high dynamic range images. The resulting HDR image is created by processing of LDR image sequence - by merging and then tone mapping. This thesis includes description of all issues related to the process of acquisition and displaying HDR image. Whole process is then implemented in form of Android application.
Mobile App for Acquisition and Processing of HDR Images
Michalák, Patrik ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The goal of this paper is to create an application that solves HDR image processing problems and focuses to interactivity with the user, offering him more opportunities in clear and minimalistic graphic user interface. Application generate HDR content by merging a series of low dynamic range images with different exposure time values. The solution provides work with HDR photography, four tone mapping methods and various tools for user.
Temporal Tone-Mapping Methods for HDR Video
Staněk, Jiří ; Musil, Petr (referee) ; Nosko, Svetozár (advisor)
The diploma thesis provides the theoretical background needed to understand the complex topic of high dynamic range, and deals with the implementation of an innovative method for temporal video tone-mapping. At first, high dynamic range image acquisition, storage and processing are described. Afterwards, a general introduction to tone-mapping, description of undesirable image artifacts and an overview of existing state-of-the-art algorithms are presented. The part which follows focuses on the implementation of the chosen method and proposes several additional enhancements of the initially selected algorithm. Based on the information provided, an application with an intuitive graphical interface, which can be used for temporal HDR video tone-mapping, has been created. Finally, the the achieved results are demonstrated and visually compared with existing methods for temporal video tone-mapping.
High dynamic range images visualization methods
Markovsky, Aleksander ; Kosová, Petra (referee) ; Druckmüller, Miloslav (advisor)
This thesis describes image processing of pictures with high dynamic range. The first part aims to describe ways to reduce visible noise, Fourier transform and convolution for image processing, linear filtering and unsharp mask method. Theoretical framework is followed by a C++ program, that processes HDR images, enhances details and creates a .jpg output.
HDR Image Acquisition from Sequence of Images
Volek, Patrik ; Maršík, Lukáš (referee) ; Musil, Martin (advisor)
This thesis concerns about assembling sequence of images with low dynamic range (LDR) and various expositions to one image with high dynamic range (HDR). Finished program allows to load series of LDR pictues and to use choosen methods to assembly into one HDR image and its mapping into displayable range.
High dynamic range imaging
Kupka, Petr ; Zach, Ondřej (referee) ; Slanina, Martin (advisor)
Bachelor thesis deals with basic principles of increasing the dynamic range of digital photography. The work also looks for the methods that are used to create high dynamic range (HDR) photography, and examines methods for compressing HDR images for low dynamic range (LDR) imaging. Implemented algorithms for tone mapping are performed in HDR_lab program created in Matlab.
High Dynamic Range Rendering of 3D Graphic Scenes
Rozenberg, Michal ; Chlubna, Tomáš (referee) ; Pečiva, Jan (advisor)
The output of this bachelor thesis is a demonstration application that implements techniques and algorithmus used in rendering graphical 3D scenes in high dynamic range. The C++ programming language and low-level Vulkan API are used to implement this application.
High dynamic range images visualization methods
Markovsky, Aleksander ; Kosová, Petra (referee) ; Druckmüller, Miloslav (advisor)
This thesis describes image processing of pictures with high dynamic range. The first part aims to describe ways to reduce visible noise, Fourier transform and convolution for image processing, linear filtering and unsharp mask method. Theoretical framework is followed by a C++ program, that processes HDR images, enhances details and creates a .jpg output.
Temporal Tone-Mapping Methods for HDR Video
Staněk, Jiří ; Musil, Petr (referee) ; Nosko, Svetozár (advisor)
The diploma thesis provides the theoretical background needed to understand the complex topic of high dynamic range, and deals with the implementation of an innovative method for temporal video tone-mapping. At first, high dynamic range image acquisition, storage and processing are described. Afterwards, a general introduction to tone-mapping, description of undesirable image artifacts and an overview of existing state-of-the-art algorithms are presented. The part which follows focuses on the implementation of the chosen method and proposes several additional enhancements of the initially selected algorithm. Based on the information provided, an application with an intuitive graphical interface, which can be used for temporal HDR video tone-mapping, has been created. Finally, the the achieved results are demonstrated and visually compared with existing methods for temporal video tone-mapping.
Web App for Image and Video Quality Assessment
Píč, Karel ; Bobák, Petr (referee) ; Čadík, Martin (advisor)
This work will be a web application for image and video quality assessment, especially those with a high dynamic range (HDR). The metrics are used for the evaluation, the results of which will be used for scientific purposes. Broader public citizens will be acquainted with this issue. This app will have an assistant available for a simple understanding of the whole application. The application also tries to be autonomous and dynamic. For example, new metrics can be added from the administration environment and editing on the server side is not required. The administrator will be able to upload a metric, a local library, a startup script, and define the parameters. The parameters provide metrics necessary data from the processed image or video. Only installation of system applications and libraries will be required on the server side.

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