Novel image enhancement technique using shunting inhibitory cellular neural networks

被引:7
作者
Hammadou, T
Bouzerdoum, A
机构
[1] Motorola Labs, Botany, NSW 1455, Australia
[2] Edith Cowan Univ, Visual Informat Proc Grp, Joondalup, WA, Australia
关键词
D O I
10.1109/30.982811
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes a method for improving image quality in color CMOS image sensor The technique simultaneously acts to compress the dynamic range, reorganize the signal to improve visibility, suppress noise, identify local features, achieve color constancy, and lightness rendition. An efficient hardware architecture and a rigorous analysis of the different modules are presented to achieve high quality CMOS digital cameras.
引用
收藏
页码:934 / 940
页数:7
相关论文
共 8 条
[1]  
BAHRAM N, 1991, SENSORY NEURAL NETWO, P27
[2]   SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS - DERIVATION AND STABILITY ANALYSIS [J].
BOUZERDOUM, A ;
PINTER, RB .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 1993, 40 (03) :215-221
[3]   Filtering noise in color images using adaptive-neighborhood statistics [J].
Ciuc, M ;
Rangayyan, RM ;
Zaharia, T ;
Buzuloiu, V .
JOURNAL OF ELECTRONIC IMAGING, 2000, 9 (04) :484-494
[4]  
FOSSUM ER, 1993, P SOC PHOTO-OPT INS, V1900, P2, DOI 10.1117/12.148585
[5]   Digital signal processor with efficient RGB interpolation and histogram accumulation [J].
Kim, H ;
Kim, JY ;
Hwang, SH ;
Park, IC ;
Kyung, CM .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 1998, 44 (04) :1389-1395
[6]  
MOINI A, 1997, IEEE INT S CIRC SYST, V1, P557
[7]  
SAKAUE S, 1995, IEEE T CONSUM ELECTR, V41, P215
[8]   CMOS active pixel image sensors fabricated using a 1.8-V, 0.25-μm CMOS technology [J].
Wong, HSP ;
Chang, RT ;
Crabbe, E ;
Agnello, PD .
IEEE TRANSACTIONS ON ELECTRON DEVICES, 1998, 45 (04) :889-894