Quality Assessment of Photoelectric Image Interference
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摘要: 干扰图像质量评估是光电成像干扰的一个难点问题，评估结果应与人类主观视觉感受相匹配。该文分析了光电干扰图像的特点和普通图像质量评估方法的局限性。然后，依据人眼主观视觉特性，利用四叉树数据结构划分方法，将干扰图像划分为边缘部分和非边缘部分。对于边缘部分，构造边缘比较函数评估干扰前后图像边缘变化的情况；对于非边缘部分，引入基于结构相似度的图像质量评估方法进行评估，并根据干扰图像结构特点，改进了评估分块划分方法。在此基础上构造出一种适用于光电干扰图像的质量评估方法。最后，对受到强光干扰和烟雾干扰的图像分别进行了仿真评估，实验表明该评估算法的结果与人类主观感受匹配良好。
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关键词:
- 图像质量评价 /
- 光电干扰 /
- 图像结构相似度测量(SSIM) /
- 四叉树
Abstract: Interfered image quality assessment is a key issue on photoelectric interference. The assessment result should match with visual perceptual factors. First, the characteristic of interfered image and the shortage of normal image quality assessment methods are analyzed. Then, according to the knowledge about visual perceptual characteristic, the image is divided into edge region and non-edge region by quadtree. For edge region, a edge contrast function is made to evaluate the edges change. For non-edge region, the structural similarity function is introduced. And the method of dividing the assessment block is improved for fitting the characteristic of interfered image. A function which suits interfered image quality assessment is proposed. Finally, the images interfered by strong light and smoke are assessed. The results indicate that the method give the fine agreement with the visual perceptual factors. -
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