Title :
Image enhancement algorithm in embedded network video monitoring system
Author :
Xu, Shengnan ; Yang, Lihui
Author_Institution :
Center for Comput. Inf., Hebei Normal Univ. for Nat., Chengde, China
Abstract :
With the demand of image quality, a novel algorithm named MW-SVM is proposed for the enhancement of digital images based on mathematical morphology, watershed algorithm and SVM to remove noises and increase articulation. The MW-SVM algorithm is adopted in embedded network video monitoring system to improve video image quality. Firstly, the principle of MW-SVM algorithm and the structure of network video system are introduced briefly. Then, the system hardware structure, software structure and working principle are analyzed. Finally, the test images and parameters, including PSNR, MSE and ISNR, show that this system is reliable, stable and extensible. It will have meaningful practical value in embedded system development.
Keywords :
embedded systems; image enhancement; mathematical morphology; monitoring; support vector machines; video signal processing; ISNR; MSE; MW-SVM algorithm; PSNR; digital image enhancement algorithm; embedded network video monitoring system; mathematical morphology; network video system structure; software structure; system hardware structure; video image quality; watershed algorithm; working principle; Artificial neural networks; Image enhancement; Monitoring; Noise; Support vector machines; Wavelet transforms; Embed Syetem; Image Enhancement; MW-SVM; Video Monitoring; Wireless Communication;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
DOI :
10.1109/ICSSEM.2012.6340873
