Image Restoration Research Based on Higher-order Information and Deep Representation
Abstract：Image restoration is a typically ill-posed and inverse problem, which can be solved by changing into well-posed problem with the prior model. Among these image models, the regularization model, which is based on the distribution of one-order gradients or matrix spectrum, ignores the higher-order image property, while the shallow model, which is based on artificial neural network, cannot represent the deep image features. Therefore, exploring the higher-order prior model and the deep feature representation for image restoration becomes the hot spot in the current image restoration research field. This project aims to propose an image restoration algorithm combining high-order regularization and deep learning, and we will do research in “Higher-order information + Deep representation” image restoration from three aspects of the prior modeling, key technologies and typical examples for verification. First, study the information complementary mechanism between higher-order and deep image models and propose the unified framework based on these two kinds of models, as the theoretical basis of the proposed algorithms. Secondly, study the following key technologies for image deblur, denoise and resolution enhancement: the adaptive regularization based on higher-order variation, the adaptive regularization based on the spectrum of higher-order tensor, and the prior learning of deep textures. Finally, verify the proposed theories and key technologies by the application in restoring the image degraded by the atmosphere turbulence. Through these researches above, to push the limits of the lower-order prior model and shallow feature representation has great significance to satisfy the needs of image restoration theory and application development.
Keywords: image restoration; higher-order variation model; low-rank tensor recovery; deep learning
Contact:
HU Wenrui
E-mail: weirun.hu@ia.ac.cn
Research Center of Precise Perception and Intelligent Control