Contrast means to change the value of each and every image pixel. This change can be done by either multiplying or dividing the pixel values of the image, by any constant. This article gives an in-depth knowledge about how can an image contrast be changed using OpenCV.
Input : Original Image Output : -> Original Image -> Image with contrast increased by 4 -> Image with contrast increased by 2 -> Image with contrast decreased by .5 -> Image with contrast decreased by .25
Code : CPP code to increase or decrease the contrast of an iamge
Image with contrast increased by 4
Image with contrast increased by 2
Image with contrast decreased by .5
Image with contrast decreased by .25
These code lines will change the image pixel values by a specified amount. The final changed image is then stored to the given output image. The contrast level will increase if the specified amount factor is greater than 1, otherwise will decrease if the specified amount factor is less than 1.
MAT Function :
The “MAT” function changes each image pixel value to the target data type and the values are changed as the degree of factor multiplied.
Parameters : m : Output Image rtype : Output Image type, Output Image type is same as input if it is set to -ve value alpha : Input image pixel are multiplied with this number prior to its assignment to output image beta : adding this value to each input image pixel
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- OpenCV | Understanding Brightness in an Image
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- Python | Image blurring using OpenCV
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- OpenCv | Coloured Blank Image
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