Q. How is the expression represented for the normalized histogram?

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Q. Which of the following conditions does the T(r) must satisfy?

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Q. The inverse transformation from s back to r is denoted as:

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Q. The probability density function p_s (s) of the transformed variable s can be obtained by using which of the following formula?

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Q. A transformation function of particular importance in image processing is represented in which of the following form?

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Q. Histogram equalization or Histogram linearization is represented by of the following equation:

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Q. What is the method that is used to generate a processed image that have a specified histogram?

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Q. Histograms are the basis for numerous spatial domain processing techniques.

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Q. In a dark image, the components of histogram are concentrated on which side of the grey scale?

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Q. What is the basis for numerous spatial domain processing techniques?

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Q. In _______ image we notice that the components of histogram are concentrated on the low side on intensity scale.

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Q. What is Histogram Equalisation also called as?

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Q. What is Histogram Matching also called as?

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Q. Histogram Equalisation is mainly used for ________________

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Q. To reduce computation if one utilises non-overlapping regions, it usually produces ______ effect.

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Q. What does SEM stands for?

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Q. The type of Histogram Processing in which pixels are modified based on the intensity distribution of the image is called _______________.

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Q. Which type of Histogram Processing is suited for minute detailed enhancements?

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Q. In uniform PDF, the expansion of PDF is ________________

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Q. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.

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