Blind Deblurring Based on a Single Luminance Channel and L1-Norm

Abstract

To improve the image quality of the deblurring results restored by existing blind deblurring method, an effective image blind deblurring method based on a single channel and L1-norm is proposed for the blurry images. Firstly, the blur influence on different channels in common colorspaces are analyzed and concluded to verify that the transformed channel for deblurring is reasonable. Then a more suitable fidelity term is proposed for increasing image details and restraining ringing effects. Finally, the deblurring model in a single luminance channel is generated and solved by semi-quadratic regularization method. The comprehensive experiments on several representative blind deblurring methods to evaluate the performances in terms of objective evaluation, subjective vision and running time. The results have demonstrated that the proposed method can ensure the deblurring performance and meanwhile decrease the running time. The deblurring performance of many different images reveals that our method is practical in image deblurring.