10 questions
Q.1. (a) For a 24-bit color image of size 5 inches by 6 inches, scanning is done at the rate of 300 dots per inches. Calculate the total number of bits required to represent the image. How much time is required to transmit the image if the available data rate is 100 kbps? [8]
(b) Discuss down sampling (or subsampling) and upsampling of an image with suitable example. [8]
Q.1. (a) Consider the image F=[[1,2],[3,4]]. Apply image rotation by rotation matrix R=[[cos(theta),-sin(theta)],[sin(theta),cos(theta)]], choose theta=45 degrees. [8]
(b) Discuss working of image acquisition system by using CCD sensors. [8]
Q.2. (a) Apply histogram equalisation to the following 4x4 image I1 and show the resultant image I2. I1 = [[1,3,4,5],[5,6,6,6],[7,7,7,7],[5,5,5,5]]. Assume image as a 3-bit image. [8]
(b) An image is represented as: [[5,9,15],[7,(2),17],[31,12,14],[7,12,19]]. Compute the value of the marked pixel (value 2, at row 2 column 2) after smoothing by 3x3 average filter. [8]
Q.2. (a) Discuss image sharpening by using second order derivative example. [8]
(b) Discuss image sharpening (in frequency domain) by Gaussian 2D low pass filter. [8]
Q.3. (a) Justify the statement that median filter is used to minimise salt-and-pepper noise by the following image (use 3x3 median filter): [[24,22,33,25,32,24],[34,(255),124,(0),64,78],[47,101,10,77,19,69]]. [10]
(b) Write the expression of 2D butterworth high pass filter and discuss its working. [6]
Q.3. (a) Discuss working of order static filter and their suitable application in image processing. [8]
(b) A degradation function is represented as H(u,v). Discuss inverse filtering to improve the image quality after removing bad effects due to degradation function. [8]
Q.4. (a) Apply image Dilation on the following 5x5 input image by using 3x3 cross-shaped structuring element (origin at center): Input image = [[0,1,1,0,1],[1,1,0,0,1],[1,0,0,1,0],[1,1,1,0,1],[1,0,0,0,1]]. Structuring element = [[0,1,0],[1,1,1],[0,1,0]] with origin marked at center. [8]
(b) Discuss image opening morphological operation by writing its mathematical representation. [8]
Q.4. (a) Apply image erosion on the following 5x5 input image by using 3x3 cross-shaped structuring element (origin at center): Input image = [[1,1,0,1,1],[0,1,1,1,0],[1,1,1,0,1],[0,1,1,1,0],[1,1,0,1,0]]. Structuring element = [[0,1,0],[1,1,1],[0,1,0]] with origin marked at center. [8]
(b) Discuss image closing morphological operation by using its mathematical representation. [8]
Q.5. (a) Discuss watershed transform along with its suitable application. [8]
(b) Discuss any one loss less compression technique and state advantages of loss less compression. [8]
Q.5. (a) Edge detection mask is defined as [[-1,-1,-1],[-1,8,-1],[-1,-1,-1]]. Apply the above mask on the following image: [[20,49,52,62,70],[55,167,117,161,27],[17,40,51,30,40]]. [8]
(b) Discuss image segmentation based on global thresholding. [8]