Sparse coding and its applications in computer vision

Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu, Thomas S. Huang

Research output: Book/ReportBook

19 Scopus citations


This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion. The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.

Original languageEnglish (US)
PublisherWorld Scientific Publishing Co.
Number of pages240
ISBN (Electronic)9789814725057
ISBN (Print)9789814725040
StatePublished - Oct 28 2015
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


Dive into the research topics of 'Sparse coding and its applications in computer vision'. Together they form a unique fingerprint.

Cite this