A PDE approach to super-resolution with contrast enhancement

Multi frame super resolution (SR) reconstruction algorithms make use of complimentary information among low resolution (LR) images to yield a high resolution (HR) image. In this paper, we first present a fast partial differential equation (PDE) model for multi-frame image super resolution reconstruction. We then combine our proposed super resolution model with the local histogram equalization (LHE), which perform super resolution and enhance image contrast simultaneously. It overcomes the shortcomings of recent promising super resolution methods dealt with super resolution and contrast enhancement separately. Our technique not only reconstructs a high-resolution image from several overlapping noisy low resolution images, but also enhances edges and image contrast while suppressing image noise during the reconstruction process. Experiments show the effectiveness and practicability of the proposed method and demonstrating its superiority to the existing SR method.