基于四元数傅里叶变换的盲彩色图像质量评价

Quality Assessment of Blind Color Images Using Quaternion Fourier Transform

利用图像质量评价算法评价彩色图像时,往往会导致彩色图像色彩信息的损失和整体性的破坏,进而使得评价结果与主观评价结果不一致。由于图像越模糊其包含的高频分量越少,基于四元数傅里叶变换,提出了一种无参考彩色图像质量评价算法。首先,利用四元数矩阵表征彩色图像并对其进行四元数傅里叶变换,得到了彩色图像傅里叶变换的频谱。其次,求出高频分量的阈值。最后,利用频谱中大于阈值的像素数目来对彩色图像质量进行评价。实验结果表明,预测结果具有较好的准确性和单调性,且与人的主观评价结果较匹配。所提算法具有较好的抗噪性,计算复杂度较低,总体性能好于现有算法。

When image quality evaluation algorithms are used to evaluate one color image,the color information of the color image is often lost and the integrity is destroyed,which makes the evaluation result inconsistent with the subjective evaluation result.Based on the idea that the more blurred the image is,the less high-frequency components it contains,a no-reference color image quality assessment algorithm is proposed.First,a quaternion matrix is used to characterize the color image and its spectrum can be obtained by quaternion Fourier transform.Then,the threshold value of the high-frequency components is calculated.Finally,the number of pixels above the threshold value is used to calculate the color image quality score.The experimental results show that the predicted results have good accuracy and monotonicity,and match well with the subjective evaluation results.The proposed algorithm has better anti-noise performance,lower computational complexity and better overall performance than existing algorithms.