This paper presents a novel single-image super-resolution (SR) procedure, which upscales
a given low-resolution (LR) input image to a high-resolution image while preserving the …

Image super-resolution aims to generate high-resolution image based on the given low-
resolution image and to recover the details of the image. The common approaches include …

Image super-resolution aims to reconstruct a high-resolution image from the known low-
resolution version. During this process, it should keep the degree of image roughness non …

An adaptively hybrid method was proposed to improve the performance of fractal coding
methods. First, it is found that the range blocks with large variances (RBLVs) play a crucial …

Single image super-resolution (SR) is a technique that reconstructs a high-resolution (HR)
image from a single low-resolution (LR) input image. The main objective of super-resolution …

The goal of image super-resolution technique is to reconstruct high-resolution image with
fine texture details from its low-resolution version. On Fourier domain, such fine details are …

An effective method was proposed to improve the performance of fractal decoded image
quality prediction. Firstly, we found that the dynamic range of the linear correlation …

With many observations, we find that there exists a logarithmic relationship between the
average collage error (ACER) and the PSNR quality of decoded images. By making use of …

Generally, most existing super-resolution (SR) methods do not consider noise, which treats
SR reconstruction and denoising as two separate problems and performs separately …

Fractal coding techniques are an effective tool for describing image textures. Considering
the shortcomings of the existing image super‐resolution (SR) method, the large‐scale factor …