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  2. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    Examples of conversion from a full-color image to grayscale using Adobe Photoshop's Channel Mixer, compared to the original image and colorimetric conversion to grayscale. Conversion of an arbitrary color image to grayscale is not unique in general; different weighting of the color channels effectively represent the effect of shooting black-and ...

  3. Color normalization - Wikipedia

    en.wikipedia.org/wiki/Color_normalization

    The comprehensive color normalization is shown to increase localization and object classification results in combination with color indexing. [7] It is an iterative algorithm which works in two stages. The first stage is to use the red, green and blue color space with the intensity normalized, to normalize each pixel.

  4. YIQ - Wikipedia

    en.wikipedia.org/wiki/YIQ

    YIQ is the color space used by the analog NTSC color TV system. I stands for in-phase, while Q stands for quadrature, referring to the components used in quadrature amplitude modulation. Other TV systems used different color spaces, such as YUV for PAL or YDbDr for SECAM. Later digital standards use the YCbCr color space.

  5. A foolproof guide to image manipulation in Python with OpenCV

    www.aol.com/foolproof-guide-image-manipulation...

    OpenCV is a huge image and video processing library designed to work with many languages such as python, C/C++, Java, and more. It is the foundation for many of the applications you know that deal ...

  6. Normalization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(image...

    max is the maximum value for color level in the input image within the selected kernel. min is the minimum value for color level in the input image within the selected kernel. [4] Local contrast stretching considers each range of color palate in the image (R, G, and B) separately, providing a set of minimum and maximum values for each color palate.

  7. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    The first alpha version of OpenCV was released to the public at the IEEE Conference on Computer Vision and Pattern Recognition in 2000, and five betas were released between 2001 and 2005. The first 1.0 version was released in 2006. A version 1.1 "pre-release" was released in October 2008. The second major release of the OpenCV was in October 2009.

  8. YCbCr - Wikipedia

    en.wikipedia.org/wiki/YCbCr

    YCbCr is sometimes abbreviated to YCC.Typically the terms Y′CbCr, YCbCr, YPbPr and YUV are used interchangeably, leading to some confusion. The main difference is that YPbPr is used with analog images and YCbCr with digital images, leading to different scaling values for U max and V max (in YCbCr both are ) when converting to/from YUV.

  9. Color balance - Wikipedia

    en.wikipedia.org/wiki/Color_balance

    This is a simple scaling of the red, green, and blue channels, and is why color balance tools in Photoshop have a white eyedropper tool. It has been demonstrated that performing the white balancing in the phosphor set assumed by sRGB tends to produce large errors in chromatic colors, even though it can render the neutral surfaces perfectly neutral.