关键词: 模糊图像, 盲去模糊, 暗像素, 非稀疏, 线性近似

Abstract:

Blind debluring is a long-standing and challenging inverse problem. The key of restoring the high-quality image is the development of the image prior. So, in order to recover the original clear image from its blurred version, this paper develops a new and effective image prior：the dark pixel image prior, and proposes a dark-pixel-based blind deblurring method. The work is based on the inherent property of the blurred image：the dark pixel of blurred images is less sparse. In the blur process, the value of the dark pixel of the blurred image will increase when averaged with neighboring high-intensity pixels, making the dark pixel of blurred images less sparse. Therefore, making use of this less sparse characteristic, this paper can distinguish the blurred image and the clear image effectively, and make the blind image deblurring come true. However, the sparsity of the dark pixel introduces a non-convex non-linear optimization problem. In order to solve the proposed model effectively, this paper introduces a linear approximation of the minimum operator to solve the proposed model effectively. Extensive experiments indicate that in a comparison with several recent representative blind deblurring methods, the proposed method can get superior performance.

Key words: blurred image, blind deblurring, dark pixel, less sparse, linear approximation