Paper Details

There are many applications which require high quality images. The applications are remote sensing,enlarging consumer photographs, medical imaging, surveillance systems. If we look at the problem of super resolutionfrom the manufacturing side then increase in number of pixel per unit area by reducing sensor size or increasing the chipsize to get super resolution image. . But reducing pixel size technically increases the shot noise and increasing chip sizeincreases the physical size of imaging system which further increases the cost of the system. So, there is always a tradeoff exits between physical size, cost and spatial resolution of the imaging system. A new approach to get high resolutionimage which overcomes this above mentioned limitation is the use of image processing to get super resolved image. Thisimage processing technique is known as the super resolution (SR). Super resolution is the method of obtaining highresolution image from one or more low resolution images. In this paper, a hybrid approach for single image superresolution for vehicle license plate is presented. It is based on Iterative Back Projection(/ibp) method combined withedge preserving Infinite Symmetrical Exponential Filter(ISEF). Though IBP can minimize the reconstruction errorsignificantly in iterative manner and gives good result, it suffers from ringing effect and chessboard effect because erroris back projected without edge guidance. ISEF provides edge-smoothing image by adding high frequency informationand gives more better results. Further we have used Anisotropic Diffusion with this hybrid approach.

Nidhi Patel, S. K. Parmar, “Hybrid Approach for Single Image Super Resolution using ISEF/CANNY/Anisotropic Diffusion and IBP: Specific Reference to License Plate”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 1198-1204, May 2015.