A real-time enhanced technique for CMOS image sensor based on dynamic area threshold

Zaifeng Shi; Chao Shi; Xiaodong Xie; Suying Yao; Qingjie Cao

doi:10.1117/12.836534

6 August 2009 A real-time enhanced technique for CMOS image sensor based on dynamic area threshold

Zaifeng Shi, Chao Shi, Xiaodong Xie, Suying Yao, Qingjie Cao

Proceedings Volume 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications; 73842N (2009) https://doi.org/10.1117/12.836534
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

A real-time enhanced technique which can accelerate the processing time and provide a more distinct image using dynamic area threshold was presented. It can compensate the flaw of the image which captured by CMOS sensor. According to the value of statistic result, dynamic increasing algorithm would be used to change the contrast and brightness via local area pixels enhancement while pixels' real value is larger than the upper threshold. On the converse, if the real value of pixels is below the lower threshold, dynamic decreasing algorithm would be used in them to darker these pixels more than these which are above the upper threshold value. The edge of the dynamic area would be analyzed and provide an appropriate way to process these edge pixels, which will let them be the usual gradual edge in the dynamic area. And this algorithm is implemented in FPGA of Xilinx XUPV4 with an MCU which can control the area where we are interested in to increase the quality efficiently.

Citation Download Citation

Zaifeng Shi, Chao Shi, Xiaodong Xie, Suying Yao, and Qingjie Cao "A real-time enhanced technique for CMOS image sensor based on dynamic area threshold", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73842N (6 August 2009); https://doi.org/10.1117/12.836534

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