| 查看: 504 | 回复: 0 | |||
[交流]
【求助】关于图像方面的，帮忙看下我的翻译，帮忙修改下
|
|
由于没有专业背景，所以有的地方翻译的不好，希望大家帮忙修改下，感谢。 This is an illuminant estimation algorithm that differs quite dramatically from the previous methods because it requires detailed knowledge of one's imaging sensor. It is based on the idea that most photographs are taken in only a limited number of illuminant types. This is exemplified in the CIE’s set of standard illuminants for sun, incandescent, and fluorescent light. The range of colors that is possible in any scene is limited by the illumination. Sensor Correlation is a method that compares the color gamut in an image with those of many illuminants determined a priori by the responsivity of the imaging sensor. The reference gamut that correlates the most with the image gamut is determined as the most likely illuminant in the scene. 这个光照估计算法与之前提到的算法有明显的不同，因为这种计算方法要求对成像传感器非常了解。这种算法基于这样一个理念：认为大部分照片都是在仅有的几种光源下拍摄的，包括日光、白炽灯光、荧光等CIE标准光源，在任何场景下色域可能都要受到光源限制。在任一场景中，可能形成的色彩范围是由光源所限。传感器相关性是由成像传感器敏感度所决定的，它是将一副图像中的色彩范围（色域）与许多光源所形成的色彩范围相比较而得出结论的一种先验方式。与图像色域相关性最大的参考范围就是场景中最可能的光源。 In my implementation, I simulated the reference gamuts using the MacBeth color checker in ISET under a black body radiator at 13 different temperatures, equally spaced on the mired scale. Note that this algorithm should be specific to each camera’s sensor but I nevertheless applied it to images whose origins were completely unknown. This is technically an incorrect usage but it examines the possibility of using an average set of reference gamuts that would be useful for a wide range of image sensors. 本文提到的实现方案分别在13级不同温度的标准黑体辐射器背景下，使用ISET中涉及的MacBeth 色彩检查器模拟了参考色域，等距的迈尔德scale.。注意:该算法对与每一个相机传感器应该是明确的,不过我同样也尝试将该算法应用于来源完全不可知的图像。从技术层面来说这是不正确的使用,但它却检验了应用一组参考色域的平均值的可能性，这对于大范围的图像传感器的应用很有帮助。 1.Pre-process to eliminate aberrant colors. This is described in more detail in the reference papers but it also involves normalizing the brightness of the image and getting rid of saturated colors. 2.Compute the color gamut of the remaining pixels as the convex hull of the red and blue channels. 3.Correlate the image gamut (at a variety of scalings) with the reference response gamuts under different temperature illuminants. Choose the one with greatest correlation as our estimate of the color cast. 4.Use a chromatic adaptation transform to correct for the color cast and reach the D65 canonical illuminant The gamut plots show the reference illuminant gamuts in green and the estimated illuminant gamut with highest correlation in blue. The image gamut is shown in red. Note that the reference gamuts are quite different than the ones presented in the papers. This might be because they were simulated by ISET rather than measured. 1。预处理以消除异常（游离）色彩。参考文献中对此有更详细的描述，同样也包含了图像亮度的标准化和色彩过饱和的消减。 2。计算剩余像素的色域作为红蓝通道的凸壳。 3。量化图像色域并与不同温度光源下的参考色域相比较，选择一个具有最大关联度（近似度）的参考色域作为评估时的色偏参考。 4。使用彩色适应变换校正待比较图像色偏，使之达到D65规范光源标准。 |
回复此楼» 猜你喜欢
职称评审没过，求安慰
已经有15人回复
-
垃圾破二本职称评审标准
已经有11人回复
-
投稿Elsevier的Neoplasia杂志，到最后选publishing options时页面空白，不能完成投稿
已经有16人回复
-
谈谈两天一夜的“延安行”
已经有14人回复
-
毕业后当辅导员了，天天各种学生超烦
已经有4人回复
-
EST投稿状态问题
已经有4人回复
-
聘U V热熔胶研究人员
已经有10人回复
-
求助文献
已经有3人回复
-
投稿返修后收到这样的回复，还有希望吗
已经有8人回复
-
三无产品还有机会吗
已经有6人回复