一种用于超高对比度图像增强的自适应非线性技术

Saibabu Arigela, V. Asari
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引用次数: 18

摘要

在夜间监控中,在视频序列的某些图像帧中可能存在极其明亮和黑暗的区域。针对这种极端不均匀光照条件下的数字图像,提出了一种新的非线性图像增强算法。新技术包括自适应强度增强、对比度增强和色彩恢复三个过程。自适应强度增强采用专门设计的非线性传递函数,能够降低明亮区域的强度,同时增强黑暗区域的强度。对比度增强根据周围像素调整每个像素大小的强度。最后,基于输入图像帧的颜色信息进行线性色彩恢复处理,将增强后的图像转换回彩色图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Adaptive and Non Linear Technique for Enhancement of Extremely High Contrast Images
In night time surveillance, there is a possibility of having extremely bright and dark regions in some image frames of a video sequence. A novel non linear image enhancement algorithm for digital images captured under such extremely non-uniform lighting conditions is proposed in this paper. The new technique constitutes three processes viz. adaptive intensity enhancement, contrast enhancement and color restoration. Adaptive intensity enhancement uses a specifically designed nonlinear transfer function which is capable of reducing the intensity of bright regions and at the same time enhancing the intensity of dark regions. Contrast enhancement tunes the intensity of each pixels magnitude based on its surrounding pixels. Finally, a linear color restoration process based on the chromatic information of the input image frame is applied to convert the enhanced intensity image back to a color image.
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