Image super-resolution algorithm improves image resolution in software. Before image tracking, it needs to enhance image resolution to improve the image tracking accuracy of the bionic eye. The traditional super-resolution reconstruction method can’t satisfy the accuracy and real-time system, so this paper proposes super-resolution image reconstruction algorithm based on SURF (Speeded up Robust...

Nearly all super-resolution algorithms are based on the fundamental constraints that the super-resolution image should generate the low resolution input images when appropriately warped and down-sampled to model the image formation process. (These reconstruction constraints are normally combined with some form of smoothness prior to regularize their solution.) In the first part of this paper, w...

Effective panoramic photographs are taken from vantage points that are high. High vantage points have recently become easier to reach as the cost of quadrotor helicopters has dropped to nearly disposable levels.1 Although cameras carried by such aircraft weigh only a few grams, their lowquality video can be converted into panoramas of high quality and high resolution. Also, the small size of th...

Image super-resolution aims to recover a visually pleasing high resolution image from one or multiple low resolution images. It plays an essential role in a variety of real-world applications. In this paper, we propose a novel hybrid example-based single image super-resolution approach which integrates learning from both external and internal exemplars. Given an input image, a proxy image with ...

Scanning Impedance Microscopy (SIM) is one of the novel scanning probe microscopy (SPM) techniques, which has been developed to taking image from sample surface, providing quantitative information with high lateral resolution on the interface capacitance, and investigating the local capacitance–voltage (C–V) behavior of the interface and AC transport properties. The SIM is an ordinary AFM equip...

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...