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Compare between contract stretching and histogram equalization.
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Contract stretching Histogram equalization
Contrast stretching (also called Normalization) attempts to improve an image by stretching the Range of intensity value it contains to make Full use of possible values. Histogram equalization is defined as a process by which an image which has very low contrast (signified by a grouping of mages histogram) can be modified bring out details not previously visible.
This type of transformation is used to enhance low contrast images. In a low contrast image specific details are difficult to determine due to the fact that most pixels are at the same intensity value. Histogram equalization transformation is used to produce an image with a uniform probability density function of pixel intensities from an image with poor contrast.
Image Negatives technique is simply negates all of the values in image and adds the value of the maximum (absolute) intensity to all pixels in the image. Image Subtraction technique is basic subtraction the grey level intensities of one image from another in a pixel-wise fashion.
Contract stretching is a common technique in that,,, the contrast of image is the distribution of its dark and light pixels Histogram Equalization is,a common technique for enhancing the appearance of images
In contract stretching, a low-contrast image exhibits small differences between its light and dark pixel values While the histogram of a low-contrast image is narrow. Hence, a better image could be obtained by stretching the histogram of an image so that the full dynamic range of the image is filled.
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