【摘要】 针对信息熵不能客观地反映图像清晰程度的不足,提出一种基于图像清晰度的量子增强算法。该方法首先将一幅由RGB空间表示的彩色图像转换为由HSV空间表示,其次根据相关灰度阈值函数对其亮度分量进行归一化处理,并采用量子衍生增强算法对其进行增强,在此基础上采用清晰度评价函数自适应确定本算法的灰度阈值参数,最后将增强后的HSV空间表示的图像还原为一幅新的RGB空间表示的彩色图像。实验结果表明,基于清晰度评价的彩色图像增强算法较信息熵函数准则有更好的图像增强效果。更多还原

【Abstract】 Considering that the method of information entropy can not describe the level of the image definition objectively,a quantum enhancement algorithm of color image based on digital image definition is proposed.Firstly,it transforms a color image from RGB space to HSV space,keeping hue and saturation components indeclinable and normalizing only value component on the basis of gray threshold function.Then,it enhances the normalized image according to a given quantum-inspired enhancement algorithm.After that,it adaptively chooses the parameter of the gray threshold function which is relevant to an algorithm by means of definition evaluation.Finally,it transforms an enhanced image which is expressed by HSV space into the new one which is expressed by RGB space.Experimental results show that the image has a better enhanced effect with the new proposed algorithms than that with the method of information entropy.更多还原