Super Resolution Algorithm for CCTVs

Seiichi Gohshi

doi:10.1117/12.2083092

16 March 2015 Super Resolution Algorithm for CCTVs

Seiichi Gohshi

Proceedings Volume 9399, Image Processing: Algorithms and Systems XIII; 939913 (2015) https://doi.org/10.1117/12.2083092
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Recently, security cameras and CCTV systems have become an important part of our daily lives. The rising demand for such systems has created business opportunities in this field, especially in big cities. Analogue CCTV systems are being replaced by digital systems, and HDTV CCTV has become quite common. HDTV CCTV can achieve images with high contrast and decent quality if they are clicked in daylight. However, the quality of an image clicked at night does not always have sufficient contrast and resolution because of poor lighting conditions. CCTV systems depend on infrared light at night to compensate for insufficient lighting conditions, thereby producing monochrome images and videos. However, these images and videos do not have high contrast and are blurred. We propose a nonlinear signal processing technique that significantly improves visual and image qualities (contrast and resolution) of low-contrast infrared images. The proposed method enables the use of infrared cameras for various purposes such as night shot and poor lighting environments under poor lighting conditions.

Citation Download Citation

Seiichi Gohshi "Super Resolution Algorithm for CCTVs", Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 939913 (16 March 2015); https://doi.org/10.1117/12.2083092

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available