Design and Implementation of Super Resolution Reconstruction Based On Efficient Restoration Techniques
نویسنده
چکیده
Super Resolution (SR) image can be obtained from a set of Low Resolution (LR) images with noise and blur. The main object of Super Resolution is to get high resolution, high quality image from Low Resolution images. To remove the blur and noises caused by the imaging system as well as recover information, restoration techniques are used. Super resolution imaging processes one or more low resolution images acquired from the same scene to produce a single higher resolution image with more information. Recently, it has been one of the most active research areas to get high-resolution image from a low-resolution image, and for the communication purpose it is necessary to compress the information. To achieve SR, it should be restored properly and free from artifacts such as noises, blur and aliasing. In this paper, the various restoration techniques are designed and implemented. It significantly improves the quality and resolution of image. Restoration recovers the original image by degradation.
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