National Repository of Grey Literature 32 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
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.
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.
Implementation of a tone mapping operator for scotopic viewing conditions
Safko, Martin ; Wilkie, Alexander (advisor) ; Kratochvíl, Miroslav (referee)
Creating night-time images and movies that look plausible has been a problem in the industry since the creation of camera. To capture an image we need enough light to create a measurable quantity on a camera sensor. For this reason, shooting at night was not possible until sensors sensitive enough were developed and even then the captured images do not look realistic. Movie industry circumvent these issues by manually color correcting the footage in post-production. We implement an algorithm presented in a 2011 SIGGRAPH paper capable of solving this problem in a psycho-physically plausible and consistent way for spectral images and also augment it by a technique taken from a paper by INRIA. 1
Advanced HDR image viewer
Wirth, Michal ; Křivánek, Jaroslav (advisor) ; Wilkie, Alexander (referee)
04.01.17 abstract.txt 1 file:///home/misa/Desktop/dp/abstract.txt The primary purpose of this thesis is to determine criteria for a high- dynamic range (HDR) image viewer accented by computer graphics artists and other users who work with HDR images produced by physically-based renderers on a daily basis. Also an overview of already existing solutions is present. Based on both of them, a new HDR viewer is designed and implemented giving an emphasis on its memory and performance efficiency. For these purposes two alternative image data layouts, Array-of-Structures (AoS) and Structure-of-Arrays (SoA), are discussed and their impact is measured on the speed of an algorithm for changing image saturation which has been selected as a representative part of whole tone mapping process of the viewer. It has turned out that the latter type of layout allows the algorithm to run about 3 times faster or more under the conditions of a defined testing environment. The thesis has two main contributions. First it gives the above users a tool which could help them when working with HDR images. Second it indicates that there may be a potential of significant speed-up of implementations of tone mapping algorithms.
Implementation of a tone mapping operator for scotopic viewing conditions
Safko, Martin ; Wilkie, Alexander (advisor) ; Kratochvíl, Miroslav (referee)
Creating night-time images and movies that look plausible has been a problem in the industry since the creation of camera. To capture an image we need enough light to create a measurable quantity on a camera sensor. For this reason, shooting at night was not possible until sensors sensitive enough were developed and even then the captured images do not look realistic. Movie industry circumvent these issues by manually color correcting the footage in post-production. We implement an algorithm presented in a 2011 SIGGRAPH paper capable of solving this problem in a psycho-physically plausible and consistent way for spectral images and also augment it by a technique taken from a paper by INRIA. 1
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.
HDR Image Acquisition and Tone-Mapping
Guniš, Erik Anton ; Musil, Martin (referee) ; Nosko, Svetozár (advisor)
Bachelor thesis deals with HDR image acquisition. Describes and solves implementation of acquisition of low dynamic range images and creating of high dynamic range image. It also deals with problem of displaying high dynamic range image. This issue is solved by tone-mapping.

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