Medical images rather than any other types of images need high storage space. The lack of
storage facilities, especially in developing countries, encourages researchers to find …

This paper presents three computationally efficient solutions for the image interpolation
problem which are developed in a general framework. This framework is based on dealing …

This book is devoted to the issue of image super-resolution-obtaining high-resolution
images from single or multiple low-resolution images. Although there are numerous …

This paper presents a super-resolution (SR) technique for enhancement of infrared (IR)
images. The suggested technique relies on the image acquisition model, which benefits …

The supervised super-resolution (SR) methods based on simple degradation assumptions
(eg, bicubic downsampling) have unsatisfactory generalization ability on real-world thermal …

This paper suggests three novel proposed techniques for super resolution (SR) infrared (IR)
images. The first algorithm is relied on the image acquisition model, which considers …

This paper presents a noniterative regularized inverse solution to the image interpolation
problem. The suggested solution is based on the segmentation of the image to be …

This paper presents a survey on existing as well as new trends in the field of high resolution
(HR) image processing. The paper focuses on the main topics, image registration, image …

This paper presents an adaptive block-by-block least squares (LS) algorithm for the
interpolation of infrared (IR) images. The suggested algorithm is based on the segmentation …

This paper presents a non-iterative regularized inverse solution to the image interpolation
problem. This solution is based on the segmentation of the image to be interpolated into …