#Pil image convert gray to rgb install#
#Pil image convert gray to rgb full#

Then, the Grayscale representation is plotted as a graph and output as shown below: This function, when called later converts the argument passed ( img_rgb) into a Grayscale representation and returns the same. Next, a function is created accepting an object as an argument. Plt.imshow(img_gray, cmap=plt.get_cmap('gray'))Ībove, two (2) libraries and called in: NumPy to use the np.dot() function and Matplotlib to handle the other calls. This method uses both the NumPyand Matplotliblibraries to read an RGB image, convert it to a Grayscale representation, plot, and display the image on a graph. Once to display the original RGB image (underneath), and once to display the Grayscale representation (top). 💡 Note: Notice the RGB color changes when img_rgb is output to the terminal compared to img_gray.įinally, image.show() is called twice. If img_gray was sent to the terminal, the following would display (snippet only): Then, the following line converts the above image to Grayscale ( cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)) and saves to img_gray. If img_rgb was sent to the terminal, the following would display as follows (snippet only): Next, erock_rgb.jpg is read in using cv2.imread('erock_rgb.jpg'). Img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY) This method imports the OpenCVlibrary to call in and use various functions to convert an RGB image to a Grayscale representation. Img_rgb = Image.open('erock_rgb.jpg').convert('L')

#Pil image convert gray to rgb full#

The results save as erock_gray.jpg.Ī compact way to perform the same task is to append convert('L') to the end of the second line: reducing the code by one (1) full line. Using img_rgb.convert('L'), converts the RGB object to a Grayscale representation of the same. This object allows us access to and manipulation of this particular image. This returns an object img_rgb similar to below. Next, the image saved earlier is opened ( Image.open('erock_rgb.jpg')) and passed the image name as an argument.

#Pil image convert gray to rgb install#

Click here to install the pillow library, if required. from PIL import ImageĪbove, imports the PIL ( pillow) library. This function converts an RGB image to a Grayscale representation. This method imports the PIL ( pillow) library allowing access to the img.convert() function. Method 4: Use Matplotlib and Scikit-Learn libraries.Method 3: Use NumPyand Matplotliblibraries.We can accomplish this task by one of the following options: 💬 Question: How would we write Python code to convert an RGB image to a Grayscale representation? As compare to the result of average method, this image is more brighter.💡 Note: To follow along, right-click on the above image and save it as erock_rgb.jpg, then move to the current working directory. New grayscale image = ( (0.3 * R) + (0.59 * G) + (0.11 * B) ).Īccording to this equation, Red has contribute 30%, Green has contributed 59% which is greater in all three colors and Blue has contributed 11%.Īpplying this equation to the image, we get thisĪs you can see here, that the image has now been properly converted to grayscale using weighted method. It means that we have to decrease the contribution of red color, and increase the contribution of the green color, and put blue color contribution in between these two. Since red color has more wavelength of all the three colors, and green is the color that has not only less wavelength then red color but also green is the color that gives more soothing effect to the eyes. Weighted method has a solution to that problem. You have seen the problem that occur in the average method. The solution to this has been given by luminosity method. We are taking 33% of each, that means, each of the portion has same contribution in the image. Since the three different colors have three different wavelength and have their own contribution in the formation of image, so we have to take average according to their contribution, not done it averagely using average method. This problem arise due to the fact, that we take average of the three colors. We wanted to convert the image into a grayscale, but this turned out to be a rather black image. There is one thing to be sure, that something happens to the original works. If you have an color image like the image shown above and you want to convert it into grayscale using average method. Since its an RGB image, so it means that you have add r with g with b and then divide it by 3 to get your desired grayscale image. You just have to take the average of three colors. The methods are:Īverage method is the most simple one. Now we will convert an color image into a grayscale image.

We have already define the RGB color model and gray scale format in our tutorial of Image types.