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Article history: Available online 6 June 2014

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...

Existing approaches to learning-based face image super-resolution require low-resolution testing inputs manually registered to pre-aligned highresolution training models [9, 12, 13, 5]. This restricts automatic applications to live images and video. In this paper, we propose a multi-resolution patch tensor based model to automatically super-resolve and register low-resolution testing face image...

This paper presents a novel technique to simultaneously estimate the depth map and the focused image of a scene, both at a super-resolution, from its defocused observations. Super-resolution refers to the generation of high spatial resolution images from a sequence of low resolution images. Hitherto, the super-resolution technique has been restricted mostly to the intensity domain. In this pape...

We propose a super-resolution method that exploits selfsimilarities and group structural information of image patches using only one single input frame. The super-resolution problem is posed as learning the mapping between pairs of low-resolution and high-resolution image patches. Instead of relying on an extrinsic set of training images as often required in example-based super-resolution algor...

Preserving accuracy is a challenging issue in super resolution images. In this paper, we propose a new FFT based image registration algorithm and a sparse based super resolution algorithm to improve the accuracy of super resolution image. Given a low resolution image, our approach initially extracts the local descriptors from the input and then the local descriptors from the whole correlated im...

The main objective of the super resolution images is to enhance the quality of the multiple lower resolution images. Super Resolution image is constructed by using raw images. An Image with improved resolution is always desirable for various applications like satellite, medical etc. to enhance the qualitative features are the images. In this paper, Super Resolution Image Reconstruction (SRIR) i...

For the real-time identification of the time-variant, directional structure of the mobile radio channel impulse response, a broadband vector channel sounder is described. The measurement procedure relies on periodic multi-frequency excitation signals, correlation processing and joint delay-azimuth superresolution based on the ESPRIT algorithm. The underlying signal model is developed and the di...