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Multi-Frame Super-Resolution: A Survey

The image resolution is probably the primary measurements of the image quality. The image with higher resolution is required and generally desired in the majority of applications, because of it represents the additional information inside the image. However, the best using of image sensors and optical technologies is normally a high priced and also restrictive method to increase the image pixel density. Therefore, the effective use of image processing techniques for acquiring a high-resolution image generated from low-resolution images is an inexpensive and a powerful solution. This kind of image improvement is termed super-resolution image. Numerous strategies like frequency domain, interpolation, and regularization techniques are proposed for generating the super resolution image. In this paper, a general survey of the available multi-frame super resolution approaches is explained. Finally, several image quality metrics are discussed to measure the similarity between the reconstructed image and the original image.