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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is convolution?
π‘ Hint: Think about how images are altered using functions.
Question 2
Easy
What is a kernel in image processing?
π‘ Hint: Consider how kernels impact pixel values.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of convolution in image processing?
π‘ Hint: Think about how images can be visually altered.
Question 2
True or False: The kernel is a large matrix that defines the impact on the entire image during convolution.
π‘ Hint: Consider the size in relation to the image.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Consider an image represented as a 3x3 matrix. Apply a given kernel for blurring to this image. What is the output image?
π‘ Hint: Use the blurring kernel averaging approach.
Question 2
Design a custom kernel for enhancing an image's contrast and explain how it acts differently from a standard sharpening kernel.
π‘ Hint: Consider values that emphasize pixel differences.
Challenge and get performance evaluation