Faster nonconvex low-rank matrix learning for image low-level and high-level vision: a unified framework

This study introduces a unified approach to tackle challenges in both low-level and high-level vision tasks for image processing. The framework integrates faster nonconvex low-rank matrix computations and continuity techniques to yield efficient and high-quality results. In addressing real-world ima...

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Bibliographic Details
Main Authors: Zhang, Hengmin, Yang, Jian, Qian, Jianjun, Gong, Chen, Ning, Xin, Zha, Zhiyuan, Wen, Bihan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/179153
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Institution: Nanyang Technological University
Language: English
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