Module 1.2: Histogram Equalization: Solved Numerical Question 1| Digital Image Processing
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Module 1.2: Histogram Equalization: Solved Numerical Question 1| Digital Image Processing
📊 Mastering Histogram Equalizations: Step-by-Step Tutorial! 📊 In this video, I have discussed step by step procedure to solve numerical question based on Histogram Equalization. Histogram: Histogram is a discrete function formed by counting the number of pixels that have a certain gray level in the image In the dark images, components of ...
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Histogram Equalization
Histogram equalization Compute the gray level (luminance) histogram for an image and equalize it so that the tones look better (and the image is less sensitive to exposure settings). You may want to use the following steps: 1. Convert the color image to luminance (Section 3.1.2). 2. Compute the histogram, the cumulative distribution, and the compensation transfer function (Section 3.1.4). 3. (Optional) Try to increase the "punch" in the image by ensuring that a certain fraction of pixels (say, 5
Histogram equalization Compute the gray level (luminance) histogram for an image and equalize it so that the tones look better (and the image is less sensitive to exposure settings). You may want to use the following steps: 1. Convert the color image to luminance (Section 3.1.2). 2. Compute the histogram, the cumulative distribution, and the compensation transfer function (Section 3.1.4). 3. (Optional) Try to increase the "punch" in the image by ensuring that a certain fraction of pixels (say, 5
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