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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