CCD Camera Noise Removal Technique Combined with Wavelet Neural Network

The complexity of the nonlinear characteristics of the CCD camera response function leads to the imperfect effect in the way of traditional linear filtering.Based on analysis of CCD noise model,wavelet neural network(WNN) was used to approach the photon transfer curve(PTC) in a nonlinear way,and classified the noise and removes the noise adaptively according to the noise parameter.It was proved feasible by theory analysis and the experiment results.Comparing it with the traditional filter,noise elimination,edge reservation and SNR were improved.