An image super-resolution method considering edge character

An image super-resolution method considering edge character

A multi-frame image super-resolution method

Multi-frame image super-resolution (SR) aims to utilize information from a set of lowresolution (LR) images to compose a high-resolution (HR) one. As it is desirable or essential in many real applications, recent years have witnessed the growing interest in the problem of multi-frame SR reconstruction. This set of algorithms commonly utilizes a linear observation model to construct the relation...

Edge Preserving Single Image Super Resolution Techniques– A Comprehensive Study

High-Resolution (HR) images play vital role in almost every aspect of day-to-day life. The spatial resolution and the quality of the images can be improved with help of Super Resolution (SR) techniques. It rebuilds a HR image from one or multiple LowResolution (LR) images. During the application of these Super Resolution (SR) methods, some intricate details in the given low resolution image may...

Super-resolution Reconstruction of an Image

This paper presents a generalization of restoration theory for the problem of SuperResolution Reconstruction (SRR) of an image. In the SRR problem, a set of low quality images is given, and a single improved quality image which fuses their information is required. We present a model for this problem, and show how the classic restoration theory tools ML, MAP and POCS can be applied as a solution...

An Improved Super-resolution Image Reconstruction Algorithm

The paper introduces the Keren registration method and points out its disadvantage which means it will become inaccuracy on the large scale parameters. To reduce the error on large scale parameters of Keren registration, a two step method is proposed, which the phase correlation algorithm is used to estimate the large translation and rotation angle roughly and the improved Keren algorithm is us...