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
U ovome radu opisana su tri pristupa kolorizaciji crno-bijelih slika. Za sve pristupe kolorizacija k...
Duboko učenje sve se više upotrebljava u području računalnog vida kako bi se postigli rezultati koji...
This thesis deals with fully automatic colorization of video and images using convolutional neural n...
Tato práce se zabývá obarvováním šedotónového obrazu a zvětšováním rozlišení obrazu za pomoci neuron...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
This bachelor’s thesis centralizes on the possible uses of neural networks in the field of computer ...
After a digital photo has been taken by a camera, it can be manipulated to be more appealing. Two wa...
This final year report focus on the design of fully automatic image colourisation using a Deep Neura...
This diploma thesis deals with image super-resolution with conservation of good quality. Firstly, th...
Analysis of methods and tools for image colorization was performed. It was explained why artificial ...
This paper presents a new method for increasing the resolution of the image - based on the artificia...
In this paper a new neural network model is used for recognition of color images which speeds up ima...
Neural network learning approach for color image restoration has been discussed in this paper and on...
The aim of this thesis is to create a deep neural net capable of super-resolution on images acquired...
The paper is devoted to machine learning methods that focus on texture-type image enhancements, name...
U ovome radu opisana su tri pristupa kolorizaciji crno-bijelih slika. Za sve pristupe kolorizacija k...
Duboko učenje sve se više upotrebljava u području računalnog vida kako bi se postigli rezultati koji...
This thesis deals with fully automatic colorization of video and images using convolutional neural n...
Tato práce se zabývá obarvováním šedotónového obrazu a zvětšováním rozlišení obrazu za pomoci neuron...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
This bachelor’s thesis centralizes on the possible uses of neural networks in the field of computer ...
After a digital photo has been taken by a camera, it can be manipulated to be more appealing. Two wa...
This final year report focus on the design of fully automatic image colourisation using a Deep Neura...
This diploma thesis deals with image super-resolution with conservation of good quality. Firstly, th...
Analysis of methods and tools for image colorization was performed. It was explained why artificial ...
This paper presents a new method for increasing the resolution of the image - based on the artificia...
In this paper a new neural network model is used for recognition of color images which speeds up ima...
Neural network learning approach for color image restoration has been discussed in this paper and on...
The aim of this thesis is to create a deep neural net capable of super-resolution on images acquired...
The paper is devoted to machine learning methods that focus on texture-type image enhancements, name...
U ovome radu opisana su tri pristupa kolorizaciji crno-bijelih slika. Za sve pristupe kolorizacija k...
Duboko učenje sve se više upotrebljava u području računalnog vida kako bi se postigli rezultati koji...
This thesis deals with fully automatic colorization of video and images using convolutional neural n...