Journal Article

Perceptual image quality mutual information assessment metric using of Gabor features

DING Yong ZHANG Yuan WANG Xiang YAN XiaoLang KRYLOV Andrey S

2014

Overview

A good objective metric of image quality assessment （IQA） should be consistent with the subjective judgment of human beings. In this paper, a four-stage perceptual approach for full reference IQA is presented. In the first stage, the visual features are extracted by 2-D Gabor filter that has the excellent performance of modeling the receptive fields of simple cells in the primary visual cortex. Then in the second stage, the extracted features are post-processed by the divisive normalization transform to reflect the nonlinear mechanisms in human visual systems. In the third stage, mutual information between the visual features of the reference and distorted images is employed to measure the visual quality. And in the last pooling stage, the mutual information is converted to the final objective quality score. Experimental results show that the proposed metic has a high correlation with the subjective assessment and outperforms other state-of-the-art metrics.

• Subject: Gabor滤波 / 互信息 / 初级视觉皮层 / 图像质量评价 / 归一化变换 / 感知 / 视觉特征 / 评估指标