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National University of Singapore - ME 5405Solution 1.

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ME5405 Machine Vision Sample Solution to Exercise 1: Fundamentals of Digital Imaging There can be more than one answer to the question. Email me at mpecck@nus.edu.sg if you have found any errors in... the solution. – CK Chui Question 1: Suppose that the resolution of a high-definition TV system is 1125 lines in the vertical direction. The width-to-height aspect ratio of the image is 16:9. The system displays a full color image every 1/30 sec for each of the red, green, and blue component images. Each pixel in the color image has 24 bits of intensity resolution, 8 bits each for a red, a green, and a blue image. How many bits are required to store a 120-minute movie? A Question 2: Suppose that a flat area with center at (x0, y0) is illuminated by a light source with intensity distribution: i(x, y) = Ke-[(x - x0)2 + (y - y0)2]. Assume for simplicity that the reflectance of the area is constant and equal to 1.0, and let K = 255. The resulting image is digitalized with k bits of intensity resolution. Sketch the image if the image is quantized into 4 intensity levels. False contouring is quantization noise. It refers to the creation of false edges or outlines not present in the original scene. It is reasonable to assume that human eye can detect an abrupt change of 8 intensity levels between adjacent pixels, what value of k will cause visible false contouring? Question 3: Image data can be represented by a list of rectangular spatial cells. The most common method of representing an image space is by a 2D array (or a matrix) of pixels (rectangular cells with fixed size). Quadtree is a generalized form of spatial enumeration in which the disjoint cells are not necessary rectangular or identical. Compare the memory usage in representing the image of Figure 1(a) using matrix and quadtree. You may assume any type of implementation [Show More]

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