Post on 07-Mar-2018
Digital Image Processing
Assignment 1
Due Date (29-2-2012)
Name : ___________________________Group : ___________ Marks : ________/20
Q1) Choose the correct answer of the following() :
1 .What is digital image processing?
a) A 2D function f(x,y) that can be observed by human visual system.
b) Is a representation of a two dimensional image as a finite set of digital values, called picture elements or pixels.
c) Processing digital images by means of operations on digital computers .
d) All of the above
2 .The process that expands the range of intensity levels in an image:
a) Contrast Stretching
b) Thresholding
c) Intensity level slicing
d) Bit-Plane Slicing
3 .Image Negatives the intensity transformation function means:
a) Mapping a narrow range of a low intensity values in the input into a wider range of output levels.
b) Revising the intensity values of an image.
c) Digitizing the coordinate values of an Image.
d) None of the above
4 .The function that converts the image into a binary image is:
a) Contrast Stretching Function
b) Power-law Transformation Function
c) Thresholding Function
d) Bit-Plane Transformation Function
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Q2) Select (T-True) for Correct statement and (F-False) for incorrect answer and correct the wrong answer:
1. Sampling means digitizing the amplitude values while quantization means digitizing the coordinate values. ( )
2. In digital images 1sample per point represents (Red, Green, and Blue) ( )
3. The first stage in image processing is image acquisition. ( )
4. Log- Transformation function curves with fractional values of ϒ map a narrow range of dark input values into a wider range of output values. ( )
Q3) Discuss the following pictures in means of:
a. The Transformation function applied to each pictureb. The result of the transformation function applied
c. What is the name of the fourth image in picture 2?
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Q4) Suppose that a 3-bit image of size 64*64 has the following intensity distribution nk = (212, 700, 923, 181,850, 656, 329, 245).
1 -Draw the histogram for the given input after filling the following table:
2 -Fined the equalized values (sk) after applying the histogram equalization function on the previous values.--------
3 -Draw the equalized histogram (the output histogram after equalization).
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