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Compare between contract stretching and histogram equalization.
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written 8.4 years ago by |
Contract stretching | Histogram equalization |
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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. |