自动白平衡AviSynth脚本实现
"该资源提供了一段用于实现自动白平衡(AWB)的代码,作者为doom9.org/martin53。代码适用于AviSynth脚本环境,包含多个参数选项,如调整量、紫色、绿色的偏移、色温范围等,以帮助视频颜色校正。" 在图像处理和视频编辑领域,自动白平衡(Auto White Balance,简称AWB)是一项关键的技术,它的目标是消除光源颜色偏差,确保图像中的白色在各种光照条件下呈现为真正的白色。这段代码提供了一个自定义的AWB函数,用于校正视频帧的色彩平衡。 代码中的参数说明如下: 1. `clip clp`: 输入的视频剪辑,即需要进行白平衡调整的视频帧。 2. `clip "mask"`: 可选的遮罩剪辑,用于指定仅对特定区域进行白平衡调整。 3. `float "amount"`: 调整的强度或比例,用于控制颜色校正的程度。 4. `int "dPurple", "dGreen"`: 分别表示紫色和绿色的偏移值,用来微调颜色校正的方向。 5. `int "minTemp", "maxTemp"`: 设置色温范围,用于限制自动白平衡的调整范围。 6. `int "Ydecay"`: 可能是颜色校正的衰减因子,影响连续帧间的颜色校正平滑度。 7. `float "freeG"`: 一个自由调整绿色的参数,可能用于精细调整绿色通道的平衡。 8. `bool "RBplaus", "Gplaus"`: 布尔值,可能用于启用或禁用红蓝通道或绿色通道的合理性检查。 9. `float "pt1"`: 可能与色彩空间转换或者特定算法阈值有关。 10. `int "ThSc"`: 门槛值,可能用于判断像素是否作为白平衡参考。 11. `bool "dither"`: 是否开启抖动处理,用于减少颜色量化产生的视觉效果。 12. `bool "ExtColRange"`: 是否扩展颜色范围,可能用于处理宽色域视频。 13. `int "info"`: 可能用于输出调试信息的等级。 14. `int "show"`: 可能用于决定是否显示调整前后的对比。 通过这些参数,用户可以根据具体视频素材的特性进行个性化设置,实现更精确的白平衡调整。由于AviSynth是一个强大的视频处理框架,这段代码可以帮助用户在不使用复杂专业软件的情况下,实现高级的色彩校正功能。
# =====================================================================================================================
# =================================================================================================================================
#
# Author doom9.org/martin53
# Version/Date see change list at bottom
# needed plugins see plugin list at bottom
#
function AWB(clip clp,
\clip "mask",
\float "amount",
\int "dPurple",
\int "dGreen",
\int "minTemp",
\int "maxTemp",
\int "Ydecay",
\float "freeG",
\bool "RBplaus",
\bool "Gplaus",
\float "pt1",
\int "ThSc",
\bool "dither",
\bool "ExtColRange",
\int "info",
\int "show") {
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# AWB() is an automatic white balancing AviSynth script function.
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/*
Abstract
AWB measures red, green and blue spectral components on a frame-by-frame basis. The components are then rescaled so that the
frame looks as much as possible as if the scene was illuminated with a pure white illuminant.
Introduction
The human eye is able to recognize the true color of objects under a wide range of illumination.
This effect is known as 'color constancy'. But when recorded pictures are watched, and the illuminant of the scene differs
significantly from pure white, color constancy does not apply and the illuminant color is noticed as annoying bias.
Therefore, automatic white balance algorithms pursuit the goal to extract the presumptive illuminant color from the color of the
scene and compensate it to resemble the scene under an almost pure white illuminant.
For this intention, several simplifications and assumptions on the scene content are made, so that the presumptive illuminant
color can be extracted although it is not recorded itself, but just its reflections.
Method of Operation
Is automatic white balancing possible, and does AWB fulfill this task? No.
AWB is *not* supposed to compensate color aberrations from aged film, because it just applies multiplicative adjustments on
the R, G and B components. However, with a previous subtraction of color haze that results from bleaching of film pigment,
AWB might be able to compensate the remaining color displacement afterwards.
In color adjustment terms, AWB can be a 'local' or 'global' algorithm. Local algorithms only take pixels with colors close to a
potential gray into account, while global algorithms do not distinguish the source pixels by color in advance. For a global
algorithm, there is even more uncertainity how much a pixel's color represents the color of the depicted object vs. the reflection
of the illuminant. The allowed color range is therefore restricted (to biased grayish tones) in advance for a local algorithm.
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