Q. The inverse of the log function in image processing is

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Q. To display the image we need image in a

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Q. Process that expands the range of intensity levels in image is called

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Q. Histogram is the technique processed in

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Q. PDF in histogram equalization stands for

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Q. In power transformation values are dependent on value of

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Q. One that is not the type of filter

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Q. In the formula g(x,y) = T[ƒ(x,y)], T is the

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Q. Gamma correction is mostly used in

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Q. In bit plane slicing the most of the information of an image is contained by

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Q. Thresholding function in contrast stretching creates

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Q. Name that does not relates to spatial filters

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Q. Sum of all components in normalized histogram is equal to

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Q. Strictly monotonical function guarantee the inverse mapping as

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Q. Method generating a processed image having specified histogram is called

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Q. Log transformation is given by the formula

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Q. Pixel to pixel movement of center and to define neighborhood is

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Q. Low pass filters promotes

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Q. Power law transformation is also called

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Q. In bit plane slicing 8 bit image will have

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