Image Interpolation by Super-Resolution
نویسندگان
چکیده
Term “super-resolution” is typically used for a high-resolution image produced from several low-resolution noisy observations. In this paper, we consider the problem of high-quality interpolation of a single noise-free image. Several aspects of the corresponding super-resolution algorithm are investigated: choice of regularization term, dependence of the result on initial approximation, convergence speed, and heuristics to facilitate convergence and improve the visual quality of the resulting image.
منابع مشابه
A 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 کاملافزایش تفکیکپذیری تصویر با استفاده از مدل لبهی تحلیلی
Assuming having only one low-resolution image, the study aims to obtain an equivalent image with a higher resolution. This problem is usually referred to as “Super-resolution”. Since the number of unknown target values is far more than that of known values given in the input image, the super-resolution is a severely ill-posed problem. In this paper, a model is developed in order to ...
متن کاملImage Super Resolution on the Basis of DWT and Bicubic Interpolation
This paper describes a super-resolution technique based on interpolation of the high-frequency subband images obtained by discrete wavelet transform (DWT) and the input image. This technique uses DWT to decompose an image into different subband images. Then the high-frequency subband images and the low-resolution input image have been interpolated, followed by combining all these images to gene...
متن کاملNew Techniques to Conquer the Image Resolution Enhancement Problem
This paper presents some new techniques for high resolution (HR) image processing and compares between them. The paper focuses on two main topics, image interpolation and image superresolution. By image interpolation, we mean extracting an HR image from a single Degraded low resolution (LR) image. Polynomial based image interpolation is reviewed. Some new techniques for adaptive image interpola...
متن کاملA Noval Approach for Image Quality Enhancement via Image Super-Resolution
The Super-Resolution (SR) or High Resolution Image reconstructed from noisy, blurred and aliasing the low resolution image using techniques known as super-resolution reconstruction.The super-resolution reconstruction process to combining the low resoultion images to form high resolution images using the algorithm (i.e interpolation).The super-resolution have phases such as registration,interpol...
متن کامل