Why we calculate histogram before and after embedding in the image processing ?
Histogram depicts the distribution of pixel intensity in an image. X-axis represents the gray level intensity and Y-axis represents the no. of pixels of respective gray level intensity. For a high contrast image, the histogram show a U-shape image while a flatish histogram show an enhanced image. Histogram helps in deciding a threshold value in image binarization algorithm. If an object with known gray level intensity is embedded in an image, the shifting of histogram peak helps in image analysis process. Histogram also helps in computing the image entropy i.e. information content in an image.
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