Xiangyong Cao

Apr 8, 2023 | mdpi.com | Yifan Wang |Shuang Xu |Xiangyong Cao |Qiao Ke

Abstract:Deep image prior (DIP) is a powerful technique for image restoration that leverages an untrained network as a handcrafted prior. DIP can also be used for hyperspectral image (HSI) denoising tasks and has achieved impressive performance. Recent works further incorporate different regularization terms to enhance the performance of DIP and successfully show notable improvements. However, most DIP-based methods for HSI denoising rarely consider the distribution of complicated HSI mixed noise.