SPATIALLY VARIANT CONTRAST ENHANCEMENT USING LOCAL RANGE MODIFICATION
SPATIALLY VARIANT CONTRAST ENHANCEMENT USING LOCAL RANGE MODIFICATION
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DOI：
10.1117/12.7973124
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发表时间：
1983-01-01
影响因子：
1.3
通讯作者：
SCHOWENGERDT, RA
中科院分区：
文献类型：
--
作者：
FAHNESTOCK, JD;SCHOWENGERDT, RA
已经开发了许多自适应对比度增强技术来提高图像的视觉效用。这些技术大多数涉及邻域算子的使用，有些需要手动输入场景相关函数才能在不同图像上正确运行。本文描述的局部范围修改（LRM）技术不涉及传统意义上的邻域运算符，也不需要设计与场景相关的函数，但它产生的结果与计算密集型技术相当。本文提出了基于空间滤波器的自适应对比度增强算法的统一描述。然后描述 LRM，并在效率、有效性和工件生成方面与其他算法进行定性比较。
Numerous adaptive contrast enhancement techniques have been developed to improve the visual utility of imagery. Most of these techniques involve the use of neighborhood operators, and some require manual input of scene-dependent functions to operate properly on different images. The local range modification (LRM) technique described in this paper does not involve neighborhood operators in the conventional sense of the word nor does it require design of scene-dependent functions, yet it yields results comparable to more computation-intensive techniques. In this paper, a unified description of the spatial filter-based adaptive contrast enhancement algorithms is presented. LRM is then described and qualitatively compared with the other algorithms in terms of efficiency, effectiveness, and artifact generation.