Image and video restoration and enhancement via sparse representation

Li Wei Kang*, Chih Yang Lin, Chia Mu Yu, Chia Hung Yeh

*此作品的通信作者

研究成果: 書貢獻/報告類型篇章

3 引文 斯高帕斯(Scopus)

摘要

The chapter provides a survey of recent advances in image/video restoration and enhancement via spare representation. Images/videos usually unavoidably suffer from noises due to sensor imperfection or poor illumination. Numerous contributions have addressed this problem from diverse points of view. Recently, the use of sparse and redundant representations over learned dictionaries has become one specific approach. One goal here is to provide a survey of advances in image/video denoising via sparse representation. Moreover, to consider more general types of noise, this chapter also addresses the problems about removals of structured/unstructured components (e.g., rain streaks or blocking artifacts) from image/video. Moreover, image/video quality may be degraded from low-resolution due to low-cost acquisition. Hence, this chapter also provides a survey of recently advances in super-resolution via sparse representation. Finally, the conclusion can be drawn that sparse representation techniques have been reliable solutions in several problems of image/video restoration and enhancement.

原文英語
主出版物標題Biometrics
主出版物子標題Concepts, Methodologies, Tools, and Applications
發行者IGI Global
頁面501-528
頁數28
ISBN(電子)9781522509844
ISBN(列印)9781522509837
DOIs
出版狀態已發佈 - 2016 八月 30
對外發佈

ASJC Scopus subject areas

  • 電腦科學(全部)

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