Q. What is required to generate an M X N linear spatial filter?

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Q. What is the difference between Convolution and Correlation?

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Q. Convolution and Correlation are functions of _____________

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Q. The function that contains a single 1 with the rest being 0s is called ______________

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Q. Which of the following involves Correlation?

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Q. An example of a continuous function of two variables is __________

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Q. The histogram of a digital image with gray levels in the range [0, L-1] is represented by a discrete function:

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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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