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QUESTION
(a) Describe the following Mean Filters used as Noise Reduction filters:
1. Arithmetic Mean Filter.
2. Geometric Mean Filer.
3. Harmonic Mean Filter.
You are also required to indicate which type of noise they are best adapted for.
(b) Differentiate between the Ideal Low Pass and Ideal High Pass filters in the Frequency domain using the Fourier Transform.
(c) Briefly give the steps of how you would perform filtering in the Frequency Domain.
Types of Light Resources - illumination Model Let us discuss about the types of light resources. The light sources can not merely be natural like light from Sun or Moon or Sta
Rigid body or Non-Rigid body Transformations 2D transformations can be classified as rigid body or non-rigid body transformations. Rigid body transformations keep the shape and
QUESTION (a) Give some ways you can change the magnification of a document? (b) Give three ways to display a panel? (c) Identify the differences between Selection tool an
Determine the perspective transformation matrix upon to z = 5 plane, when the center of projection is at origin. Solution. As z = 5 is parallel to z = 0 plane, the normal is s
Implement displacement mapping and bump mapping on a sphere. The displacement can be whatever your choice. The bump map can be whatever your choice as well.
The goal of this assignment is to implement procedures/functions using x86 assembly. In addition to implementing procedures/functions, this assignment requires to pass arguments us
Question 1: Name at least four file formats and explain in detail what they mean and how they are use? Question 2: What are "Process Colours"? Answer in a single para
Define the term Avatars- Animation Avatars are another instance of animation. These are frequently used to represent people either in 3-D (as used in computer games) and in 2-D
Acquire a transformation matrix for perspective projection for a specified object projected onto x=3 plane as viewed by (5,0,0). Solution: Plane of projection: x = 3 as given.
Principal vanishing point write respect to Z-axis Principal vanishing point w.r.t z-axis: By the 3rd row of matrix equation, we declare that the principal vanishing point w
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