[image-processing] Converting RGB to grayscale/intensity

When converting from RGB to grayscale, it is said that specific weights to channels R, G, and B ought to be applied. These weights are: 0.2989, 0.5870, 0.1140.

It is said that the reason for this is different human perception/sensibility towards these three colors. Sometimes it is also said these are the values used to compute NTSC signal.

However, I didn't find a good reference for this on the web. What is the source of these values?

See also these previous questions: here and here.

The answer is


Check out the Color FAQ for information on this. These values come from the standardization of RGB values that we use in our displays. Actually, according to the Color FAQ, the values you are using are outdated, as they are the values used for the original NTSC standard and not modern monitors.


Heres some code in c to convert rgb to grayscale. The real weighting used for rgb to grayscale conversion is 0.3R+0.6G+0.11B. these weights arent absolutely critical so you can play with them. I have made them 0.25R+ 0.5G+0.25B. It produces a slightly darker image.

NOTE: The following code assumes xRGB 32bit pixel format

unsigned int *pntrBWImage=(unsigned int*)..data pointer..;  //assumes 4*width*height bytes with 32 bits i.e. 4 bytes per pixel
unsigned int fourBytes;
        unsigned char r,g,b;
        for (int index=0;index<width*height;index++)
        {
            fourBytes=pntrBWImage[index];//caches 4 bytes at a time
            r=(fourBytes>>16);
            g=(fourBytes>>8);
            b=fourBytes;

            I_Out[index] = (r >>2)+ (g>>1) + (b>>2); //This runs in 0.00065s on my pc and produces slightly darker results
            //I_Out[index]=((unsigned int)(r+g+b))/3;     //This runs in 0.0011s on my pc and produces a pure average
        }

These values vary from person to person, especially for people who are colorblind.


I found that this publication referenced in an answer to a previous similar question. It is very helpful:

http://cadik.posvete.cz/color_to_gray_evaluation/

It shows 'tons' of different methods to generate grayscale images with different outcomes!


Here's a paper on how these numbers (or similar ones) were derived:

https://web.archive.org/web/20160303201512/http://www.cis.rit.edu/mcsl/research/broadbent/CIE1931_RGB.pdf


is all this really necessary, human perception and CRT vs LCD will vary, but the R G B intensity does not, Why not L = (R + G + B)/3 and set the new RGB to L, L, L?


What is the source of these values?

The "source" of the coefficients posted are the NTSC specifications which can be seen in Rec601 and Characteristics of Television.

The "ultimate source" are the CIE circa 1931 experiments on human color perception. The spectral response of human vision is not uniform. Experiments led to weighting of tristimulus values based on perception. Our L, M, and S cones1 are sensitive to the light wavelengths we identify as "Red", "Green", and "Blue" (respectively), which is where the tristimulus primary colors are derived.2

The linear light3 spectral weightings for sRGB (and Rec709) are:

Rlin * 0.2126 + Glin * 0.7152 + Blin * 0.0722 = Y

These are specific to the sRGB and Rec709 colorspaces, which are intended to represent computer monitors (sRGB) or HDTV monitors (Rec709), and are detailed in the ITU documents for Rec709 and also BT.2380-2 (10/2018)

FOOTNOTES (1) Cones are the color detecting cells of the eye's retina.
(2) However, the chosen tristimulus wavelengths are NOT at the "peak" of each cone type - instead tristimulus values are chosen such that they stimulate on particular cone type substantially more than another, i.e. separation of stimulus.
(3) You need to linearize your sRGB values before applying the coefficients. I discuss this in another answer here.


Examples related to image-processing

Convert np.array of type float64 to type uint8 scaling values dlib installation on Windows 10 OpenCV - Saving images to a particular folder of choice How do I increase the contrast of an image in Python OpenCV OpenCV & Python - Image too big to display TypeError: Image data can not convert to float Extracting text OpenCV c++ and opencv get and set pixel color to Mat cv2.imshow command doesn't work properly in opencv-python How does one convert a grayscale image to RGB in OpenCV (Python)?

Examples related to colors

is it possible to add colors to python output? How do I use hexadecimal color strings in Flutter? How do I change the font color in an html table? How do I print colored output with Python 3? Change bar plot colour in geom_bar with ggplot2 in r How can I color a UIImage in Swift? How to change text color and console color in code::blocks? Android lollipop change navigation bar color How to change status bar color to match app in Lollipop? [Android] How to change color of the back arrow in the new material theme?

Examples related to computer-vision

How to predict input image using trained model in Keras? How do I increase the contrast of an image in Python OpenCV How to verify CuDNN installation? OpenCV Error: (-215)size.width>0 && size.height>0 in function imshow How to draw a rectangle around a region of interest in python How can I extract a good quality JPEG image from a video file with ffmpeg? Simple Digit Recognition OCR in OpenCV-Python OpenCV C++/Obj-C: Detecting a sheet of paper / Square Detection Converting an OpenCV Image to Black and White Combining Two Images with OpenCV

Examples related to language-agnostic

IOException: The process cannot access the file 'file path' because it is being used by another process Peak signal detection in realtime timeseries data Match linebreaks - \n or \r\n? Simple way to understand Encapsulation and Abstraction How can I pair socks from a pile efficiently? How do I determine whether my calculation of pi is accurate? What is ADT? (Abstract Data Type) How to explain callbacks in plain english? How are they different from calling one function from another function? Ukkonen's suffix tree algorithm in plain English Private vs Protected - Visibility Good-Practice Concern

Examples related to rgb

What are the RGB codes for the Conditional Formatting 'Styles' in Excel? libpng warning: iCCP: known incorrect sRGB profile Get pixel's RGB using PIL How to compare two colors for similarity/difference Given an RGB value, how do I create a tint (or shade)? Why rgb and not cmy? RGB to hex and hex to RGB Convert System.Drawing.Color to RGB and Hex Value HSL to RGB color conversion How do I write a RGB color value in JavaScript?