摘要
Usually image assessment methods could be classified into two categories: subjective as-sessments and objective ones. The latter are judged by the correlation coefficient with subjective quality measurement MOS (Mean Opinion Score). This paper presents an objective quality assessment algorithm special for binary images. In the algorithm, noise energy is measured by Euclidean distance between noises and signals and the structural effects caused by noise are described by Euler number change. The assessment on image quality is calculated quantitatively in terms of PSNR (Peak Signal to Noise Ratio). Our experiments show that the results of the algorithm are highly correlative with subjective MOS and the algorithm is more simple and computational saving than traditional objective assessment methods.
Usually image assessment methods could be classified into two categories： subjective assessments and objective ones. The latter are judged by the correlation coefficient with subjective quality measurement MOS （Mean Opinion Score）. This paper presents an objective quality assessment algorithm special for binary images. In the algorithm, noise energy is measured by Euclidean distance between noises and signals and the structural effects caused by noise are described by Euler number change. The assessment on image quality is calculated quantitatively in terms of PSNR （Peak Signal to Noise Ratio）. Our experiments show that the results of the algorithm are highly correlative with subjective MOS and the algorithm is more simple and computational saving than traditional objective assessment methods.
基金
Supported by Innovation Fund for Small Technology Based Firms, China (No.04C26213301189)
Science and Technology Foundation by Beijng Jiaotong University (No.2005SM009)
the Key Laboratory of Advanced Information Science and Network Technology of Beijing (No.TDXX0509).
