Super-resolution is an image enhancement method that increases the resolution of images and video. Previously this technique could only be applied to 2D scenes. The super-resolution algorithm developed in this thesis creates high-resolution views of 3-dimensional scenes, using low-resolution images captured from varying, unknown positions
In the last three decades, multi-frame and single-frame super-resolution and reconstruction techniqu...
Image super resolution is to estimate a high resolution image from a low resolution image or a seque...
Sensing using 3D technologies has seen a revolution in the past years where cost-effective depth sen...
Super-resolution is a method of post-processing image enhancement that increases the spatial resolut...
A common and important problem that arises in visual communications is the need to create an enhance...
Super-resolution consists of processing an image or a set of images in order to enhance the resoluti...
Abstract:- The matter of Resolution Enhancement has become one of the most important Electronic and ...
In this paper we explain a process of super-resolution reconstruction allowing to increase the resol...
PhDThe evolution of multimedia systems and technology in the past decade has enabled production and ...
High-resolution images are a fundamental requirement of modern imaging applications. However, sensor...
This paper details the implementation of a multi-frame super-resolution algorithm which takes low re...
With the development of video technology, high definition video and 3D video applications are becomi...
One of the primary measurements of image quality is image resolution. High-resolution images are oft...
For photogrammetric applications that demand highly detailed images, it is often neither feasible no...
The classic multi-image-based super-resolution (SR) methods typically take global motion pattern to ...
In the last three decades, multi-frame and single-frame super-resolution and reconstruction techniqu...
Image super resolution is to estimate a high resolution image from a low resolution image or a seque...
Sensing using 3D technologies has seen a revolution in the past years where cost-effective depth sen...
Super-resolution is a method of post-processing image enhancement that increases the spatial resolut...
A common and important problem that arises in visual communications is the need to create an enhance...
Super-resolution consists of processing an image or a set of images in order to enhance the resoluti...
Abstract:- The matter of Resolution Enhancement has become one of the most important Electronic and ...
In this paper we explain a process of super-resolution reconstruction allowing to increase the resol...
PhDThe evolution of multimedia systems and technology in the past decade has enabled production and ...
High-resolution images are a fundamental requirement of modern imaging applications. However, sensor...
This paper details the implementation of a multi-frame super-resolution algorithm which takes low re...
With the development of video technology, high definition video and 3D video applications are becomi...
One of the primary measurements of image quality is image resolution. High-resolution images are oft...
For photogrammetric applications that demand highly detailed images, it is often neither feasible no...
The classic multi-image-based super-resolution (SR) methods typically take global motion pattern to ...
In the last three decades, multi-frame and single-frame super-resolution and reconstruction techniqu...
Image super resolution is to estimate a high resolution image from a low resolution image or a seque...
Sensing using 3D technologies has seen a revolution in the past years where cost-effective depth sen...