Image restoration technology based on GMM

Houpeng Sun; Tinghua Zhang; Yingchun Li; Leiyuan Tian; Chunyang Li

doi:10.1117/12.2606348

24 November 2021 Image restoration technology based on GMM

Houpeng Sun, Tinghua Zhang, Yingchun Li, Leiyuan Tian, Chunyang Li

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 1206529 (2021) https://doi.org/10.1117/12.2606348
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

Images store a lot of information and are the window for human beings to understand things. A lot of research is devoted to analyzing and processing images, which is called image processing in a broad sense. Image processing includes image recognition, image restoration, image enhancement, image coding and so on. This paper mainly focuses on the field of image restoration. Image restoration, also known as image inverse problem, aims to restore high-quality original images from degraded or damaged observations. It also acts as a preprocessing step in many intermediate and advanced image processing tasks. Due to the limitations of sensors or environmental conditions, imaging systems usually have factors such as noise, optical or motion blur, resulting in image degradation and distortion. Aiming at the ill posed problem of image pixel missing and blur in the process of compression coding, this paper uses GMM model to solve the degraded image, so as to achieve the purpose of image restoration.

Citation Download Citation

Houpeng Sun, Tinghua Zhang, Yingchun Li, Leiyuan Tian, and Chunyang Li "Image restoration technology based on GMM", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 1206529 (24 November 2021); https://doi.org/10.1117/12.2606348

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