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Neural Network Based Image Modifications
Maslowski, Petr ; Zbořil, František (referee) ; Šůstek, Martin (advisor)
This thesis deals with image colorization and image super-resolution using neural networks. It briefly explains neural networks principles and summarizes current approaches in this domain. It also describes the design, implementation and training of various neural network architectures. The best implemented architecture can colorize images, in particular, works well with outdoor areas. The architecture for image super-resolution with residual blocks that was trained with a perceptual loss function performs a double increase in image resolution (4x more pixels in total). Part of this thesis is also an implementation of a web application that uses trained models for image modification.
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Application for the Camera Image Editing for Android
Bělehrádek, Stanislav ; Szentandrási, István (referee) ; Behúň, Kamil (advisor)
In this thesis I dealt with creation of application for editing image from camera. Apliacation is for operating system Android. Aim was to study possibilities of image editing and of creating applications for platform Android. And next aim was to use discovered informations to develop application. Problem was solved by creating of framework for platform Android for image editing. This framework was used for develope application. Framework provides visual components useful for creation application GUI. Created application provides extra feature to create a custom effect by composition of filters from OpenCV library. Output is Android application and poster demonstrating the application. Next output is framework making development of applications for image editing easier. Framework contains also documentation with description of framework and instructions for use.
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Resampling and Correction of Images
Lysáková, Veronika ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This bachelor thesis is focusing on design and implementation of the application for resampling and correction of image which allows movement of the pixels of a photo and that way to fix small mistakes whilst taking photographs or correct the image. One part of the work describes existing tools for adjustments of photographs and geometric transformations which are being used to make these adjustments.
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Neural Network Based Image Modifications
Maslowski, Petr ; Zbořil, František (referee) ; Šůstek, Martin (advisor)
This thesis deals with image colorization and image super-resolution using neural networks. It briefly explains neural networks principles and summarizes current approaches in this domain. It also describes the design, implementation and training of various neural network architectures. The best implemented architecture can colorize images, in particular, works well with outdoor areas. The architecture for image super-resolution with residual blocks that was trained with a perceptual loss function performs a double increase in image resolution (4x more pixels in total). Part of this thesis is also an implementation of a web application that uses trained models for image modification.
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Resampling and Correction of Images
Lysáková, Veronika ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This bachelor thesis is focusing on design and implementation of the application for resampling and correction of image which allows movement of the pixels of a photo and that way to fix small mistakes whilst taking photographs or correct the image. One part of the work describes existing tools for adjustments of photographs and geometric transformations which are being used to make these adjustments.
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Application for the Camera Image Editing for Android
Bělehrádek, Stanislav ; Szentandrási, István (referee) ; Behúň, Kamil (advisor)
In this thesis I dealt with creation of application for editing image from camera. Apliacation is for operating system Android. Aim was to study possibilities of image editing and of creating applications for platform Android. And next aim was to use discovered informations to develop application. Problem was solved by creating of framework for platform Android for image editing. This framework was used for develope application. Framework provides visual components useful for creation application GUI. Created application provides extra feature to create a custom effect by composition of filters from OpenCV library. Output is Android application and poster demonstrating the application. Next output is framework making development of applications for image editing easier. Framework contains also documentation with description of framework and instructions for use.
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