title: Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction.
abstract: Image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction aims to recover detailed information from low-resolution images and reconstruct them into high-resolution images. Due to the limited amount of data and information retrieved from low-resolution images, it is difficult to restore clear, artifact-free images, while still preserving enough structure of the image such as the texture. This paper presents a new single image super-resolution method which is based on adaptive fractional-order gradient interpolation and reconstruction. The interpolated image gradient via optimal fractional-order gradient is first constructed according to the image similarity and afterwards the minimum energy function is employed to reconstruct the final high-resolution image. Fractional-order gradient based interpolation methods provide an additional degree of freedom which helps optimize the implementation quality due to the fact that an extra free parameter α-order is being used. The proposed method is able to produce a rich texture detail while still being able to maintain structural similarity even under large zoom conditions. Experimental results show that the proposed method performs better than current single image super-resolution techniques.
authors.affiliation: Shenyang Ligong University, China. Electronic address: 9501133@163.com.
authors.forename: Qi
authors.initials: Q
authors.lastname: Yang
authors.affiliation: Shenyang Ligong University, China. Electronic address: syzd710471@163.com.
authors.forename: Yanzhu
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: University of California, Merced, United States. Electronic address: tzhao3@ucmerced.edu.
authors.forename: Tiebiao
authors.initials: T
authors.lastname: Zhao
authors.affiliation: University of California, Merced, United States. Electronic address: ychen53@ucmerced.edu.
authors.forename: YangQuan
authors.initials: Y
authors.lastname: Chen
keywords: Fractional-order; Gradient interpolation; Image processing; Minimum energy function; Super-resolution