Visibility enhancement for remote surveillance system
Visibility enhancement for remote surveillance system
复制标题
远程监控系统可视性增强
DOI：
10.1109/inventive.2016.7830195
复制
发表时间：
2016
期刊：
影响因子：
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通讯作者：
Reshma R. Gulwani
中科院分区：
文献类型：
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作者：
Hemangi Dhananjay Bhoir;Nilima Dongre Jawade;Reshma R. Gulwani
像雾和霾这样的大气条件大大降低了户外监视中的图像质量。因此，在这样一个具有挑战性的环境中，它成为一个需要有可靠的去雾技术，提高模糊图像的可见性。在此，处理白色平衡图像是从原始模糊图像导出的，以通过丢弃由大气颜色引起的偏色来保持图像的自然再现。该算法首先通过计算显著特征提取图和前景区域保持图来提取模糊区域的重要特征，然后通过减去原始模糊图像的平均亮度来增强模糊区域的可见性，最后采用基于块的对比度增强（CLAHE）方法来增强模糊区域的局部对比度。
An atmospheric conditions like fog as well as haze considerably degrades image quality in outdoor surveillances. Therefore in such a challenging environment it's become a need to have reliable dehazing technique which enhance the visibility of hazy images. In this, processing white balanced images is derived from original hazy image to retain natural rendition of images by discarding color cast that are caused by atmospheric color. To preserve the region with good visibility, important features are extracted by computing salient feature extraction map & foreground region preservation map and then enhance visibility in hazy regions by subtracting average luminance from original hazy image then contrast enhancing approach CLAHE(block based contrast enhancement) is used to enhance the local contrast of the image.
DOI：
10.18535/ijecs/v5i1.12
发表时间：
2016
期刊：
--
影响因子：
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作者：
Mohinder Malhotra
通讯作者：
Mohinder Malhotra