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...

Biometric Person Authentication such as face, fingerprint, palmprint and signature depends on the quality of image processing. When it needs to be done under a low-resolution image, the accuracy will be impaired. So how to recover the lost information from downsampled images is important for both authentication and preprocessing. Based on Super-Resolution through Neighbor Embedding algorithm an...

Image super-resolution (SR) reconstruction is to reconstruct a high-resolution (HR) image from one or a series of low-resolution (LR) images in the same scene with a certain amount of prior knowledge. Learning based algorithm is an effective one in image super-resolution reconstruction algorithm. The core idea of the algorithm is to use the training examples of image to increase the high freque...

The goal of multi-frame Super Resolution (SR) is to fuse multiple Low Resolution (LR) images to produce one High Resolution (HR) image. The major challenge of classic SR approaches is accurate motion estimation between the frames. To handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...

The image processing technique recognized as super-resolution have proven their valuable in reconstruction high-quality images from a low-resolution image sets. In this paper, author presents new hybrid SR algorithm for medical image processing. The algorithm combines both single and multi frame super-resolution frameworks. The technique derives advantages from rigoristic optical flow motion es...

An improvement of fast curvature based interpolation in image super resolution is proposed by using genetic algorithm optimization. The fast curvature based image super resolution requires low computation time, and it is suitable for real time video superresolution. This paper furthermore optimizes the parameters of FCBI based on genetic algorithm. Through the android device implementation, we ...

Super-resolution (SR) image reconstruction is a technique used to recover a high-resolution image using the cumulative information provided by several low-resolution images. With the help of SR techniques, satellite remotely sensed images can be combined to achieve a higher-resolution image, which is especially useful for a two- or three-line camera satellite, e.g., the ZY-3 high-resolution Thr...

This work presents a high-resolution image acquisition system by combining a multi-camera imaging system composed of multiple low-resolution digital cameras and a color super-resolution image reconstruction algorithm. Aligned and adjusted multiple mini-cameras and the controlling system consist the multi-camera imaging system. Some of the cameras obtain intensity information and the other ones ...