SWT-ICBI based Single Image Super Resolution
نویسنده
چکیده
Resolution of the image plays a key role in each and every field. Resolution is really very important aspect of the image. Inorder to achieve the natural look and feel removing of artifacts is essential.In order to extract out important information from the image, an image with super resolution is needed.The need of single super resolution image arised when the enhanced images lost its natural look and feel it. In this paper we describe a new upscaling method (ICBI, Iterative Curvature Based Interpolation) based on a two step grid filling and an iterative correction of the interpolated pixels with SWT wavelet transform. We show that this method is able to obtain very good results, especially for its ability of removing artifacts without creating ”artificial” detail and is superior to the existing techniques in terms of quantitative as well as qualitative aspects.
منابع مشابه
Enlargement of Image Based Upon Interpolation Techniques
For real time applications, simple linear or cubic interpolation and FCBI (Fast Curvature Based Interpolation) algorithms are applied for the task of enlargement of images without changing super resolution (low resolution and high resolution), but the results obtained are not really satisfactory, being affected by relevant artifacts like blurring and jaggies. In this paper we describe a new met...
متن کاملHybrid Super Resolution using SWT and CT
Super resolution is the process of reconstructing high resolution(HR) image from multiple low resolution(LR) images of a scene . LR images are at a specific pixel shift from each other. High Resolution(HR) grids are formed from these LR images using Stationary Wavelet Transform (SWT) by image registration. Interpolation of the missing pixel in the HR grid is done using Curvelet Transform(CT). E...
متن کاملA Deep Model for Super-resolution Enhancement from a Single Image
This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...
متن کاملImage Resolution Enhancement by Wavelet Transform Based Interpolation and Image Fusion
This paper presents a resolution method for enhancing digital gray images. The proposed enhancement technique is based on the interpolation of the high frequency sub-bands obtained by DWT and SWT. The proposed technique uses DWT to decompose an image into different sub-bands, and then the high frequency sub-band images have been interpolated. The interpolated high frequency sub-band coefficient...
متن کاملDiscrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement
An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the...
متن کامل