Aug 07, 2014 Enhance Color:The Enhance Color tool contains an array of advanced tools for adjusting the color balance, contrast, brightness and saturation of an image. You can do this automatically or manually. Denoise:The Denoise tool allows you to effectively remove luminance and color noise from images that were created under poor lighting conditions.
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.imadjust increases the contrast of the image by mapping the values of the input intensity image to new values such that, by default, 1% of the data is saturated at low and high intensities of the input data.histeq performs histogram equalization. It enhances the contrast of images by transforming the values in an intensity image so that the histogram of the output image approximately matches a specified histogram (uniform distribution by default).adapthisteq performs contrast-limited adaptive histogram equalization.
Unlike histeq, it operates on small data regions (tiles) rather than the entire image. Each tile's contrast is enhanced so that the histogram of each output region approximately matches the specified histogram (uniform distribution by default). The contrast enhancement can be limited in order to avoid amplifying the noise which might be present in the image.Read a grayscale image into the workspace.
Enhance the image using the three contrast adjustment techniques. Histogram equalization, on the other hand, substantially changes both images.
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Many of the previously hidden features are exposed, especially the debris particles on the tire. Unfortunately, at the same time, the enhancement over-saturates several areas of both images. Notice how the center of the tire, part of the child's face, and the jacket became washed out.Concentrating on the image of the tire, it would be preferable for the center of the wheel to stay at about the same brightness while enhancing the contrast in other areas of the image. In order for that to happen, a different transformation would have to be applied to different portions of the image. The Contrast-Limited Adaptive Histogram Equalization technique, implemented in adapthisteq, can accomplish this.
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The algorithm analyzes portions of the image and computes the appropriate transformations. A limit on the level of contrast enhancement can also be set, thus preventing the over-saturation caused by the basic histogram equalization method of histeq. This is the most sophisticated technique in this example. Enhance Color ImagesContrast enhancement of color images is typically done by converting the image to a color space that has image luminosity as one of its components, such as the L.a.b. color space.
Contrast adjustment is performed on the luminosity layer 'L.' only, and then the image is converted back to the RGB color space. Manipulating luminosity affects the intensity of the pixels, while preserving the original colors.Read an image into the workspace. The 'shadow.tif' image is an indexed image, so convert the image to a truecolor (RGB) image.
Then, convert the image from the RGB color space to the L.a.b. color space.
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