关键词: 无参考图像质量评价, 模糊度, 纹理特征

Abstract: Texture is one of the most important characteristics used in identifying objects or regions of interest in an image. Based on the fact that there is a high difference between a sharp image and its blurred version in texture features, a novel no-reference image blur metric based on the texture features is proposed. The key idea of the proposed method is to blur the original image with a weak and a strong low-pass filters, and then to compute the blur metric based on the texture feature variation between the two different blurred versions. The experimental results show that the proposed method is monotonic, robust to additive noises, and also consistent with human visual system.

Key words: no reference image quality assessment, blur measure, texture