A new technique for the restoration of low resolution text images

Many problems in security and surveillance require the resolution expansion of a captured image. This paper introduces a new system for expanding the resolution of text images. The system inputs are single instances of low resolution text images which must be restored and transformed into data readable text. To achieve acceptable results, such systems require a robust restoration subsystem. The sub-system proposed in this paper creates a bimodal image which favors polygonal representations, consistent with the characteristics of scripts of most non-cursive languages. The resolution expanded image is generated by iteratively solving a non linear optimization equation in the Radon domain with the imposition of image domain constraints. To the best of our knowledge, the idea of Radon domain restoration is new.