CMOS图像采集芯片中噪声抑制新方法研究

A New Denoising Method about CMOS Imagining Chip

本文针对 CMOS图像采集芯片中信号的基本特点 ,对于白噪声的消除 ,在 Donoho提出的基于小波的软阈值和硬阈值去噪法的基础上 ,将输入信号的信噪比作为去噪参数 ,研究并提出了适合于 CMOS图像采集芯片噪声消除的新方法 ,并且给出用 Matlab仿真的结果。结果表明 ,当测试信号为 Blocks,输入信号信噪比为 3d B～ 13d B时 ,使用此方法输出信号信噪比比软阈值法平均提高 2 .2 d B;比硬阈值法平均提高 0 .2 1d

Faced to the raw signal acquired in the CMOS pixels,this paper puts forward a new algorithm which could be applied to degrading Gauss noise emerged in the imaging process.This wavelet threshold denoising algorithm is based on the method presented by Donoho.In this new algorithm the input SNR is parameterized.The simulating results with Matlab are presented.The experimental results show that the improvement for the SNR is 2.2 dB and 0.2 dB compared with the soft thresholding method and the hard thresholding method respectively when input signal is Blocks and input SNR is 3 dB 13 dB.