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As a rule, the performance of almost digital image processing (DIP) algorithms and these applications directly depends on the spatial resolution of observed input images. Unfortunately, from the current image sensor technology, it is hard to take sufficient high spatial resolution images from commercial devices therefore the fantastic research attempts and, consequently, simple digital image resolution...
The current paper focuses on single-image super-resolution algorithms aiming at increasing the spatial resolution of images and video sequences. We achieve this goal by decreasing the complexity of the reconstruction process, combining common filtering methods and introducing adaptive error back-projection throughout an iterative back-projection framework. We compare our scheme with common interpolation...
An improved color video super-resolution technique using kernel regression and fuzzy enhancement is presented in this paper. A high resolution frame is computed from a set of low resolution video frames by kernel regression using an adaptive Gaussian kernel. A fuzzy smoothing filter is proposed to enhance the regression output. The proposed technique is a low cost software solution to resolution enhancement...
Although super-resolution (SR) methods have been successfully used to improve the resolution of video content, these methods estimate high resolution (HR) frames without explicitly use local information. Instead, they minimize the sum of difference between acquired low resolution (LR) images and observation model. On the contrary, adaptive kernel regression estimates each pixel of HR frames independently...
This paper investigates image interpolation problems by means of combing structure tensor with kernel regression methods. We propose an anisotropic structure tensor to adapt the diffusivity along or across the geometric structure of image, for instance image edges. Experimental results show that our new algorithm significantly outperforms the steering kernel regression in persevering edge and improving...
The efficiency of any image resizing algorithm is determined by two main factors: the quality of the obtained image and the computational complexity. Although many image interpolation methods have been proposed in the literatures, these methods suffer from the computational complexity as well as runtime evaluations. This paper presents a method for image zooming using quasi Hermite interpolation spline,...
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