Computer Vision Fundamentals Quiz
Explore key concepts in computer vision, including image representation, processing techniques, sensor properties, and vision levels.
Try this quiz
Play through the questions and see your score instantly
Ready to test your knowledge?
8 questions · Quick play · Instant results
Make your own quiz videos
Turn any topic into a polished video quiz — with AI-powered questions, voiceover, and animations. No video editing skills needed.
Unlimited quizzes, free to start
Create as many quizzes as you want. Describe your topic and AI builds the questions, answers, and explanations for you.
Customise everything
Pick from stunning templates, tweak colours and fonts, add your branding, and choose between vertical or landscape formats.
Export-ready videos
Download HD videos optimised for TikTok, YouTube Shorts, Instagram Reels, or full-length YouTube — one click, no editing.
No credit card required
Quiz Questions & Answers
Review every prompt, the correct responses, and helpful context to prep for your own run-through.
Question 1: An image of size 512×512 has 256 gray levels. How many bits are required to store the image?
1,048,576 bits
2,097,152 bits
4,194,304 bits
131,072 bits
Question 2: A pixel’s intensity changes from 50 to 200 after contrast stretching. If the original range is (0–255), what is the contrast enhancement factor?
3
2.5
4
5
Question 3: A 3×3 averaging filter is applied on a region with pixel intensities [100, 120, 140, 160, 180, 200, 220, 240, 255]. What is the filtered output at the center?
180
200
190
210
Question 4: If a 640×480 image is captured at 30 fps, what is the data rate (in MB/s) for 24-bit color images?
22.1
19.7
13.2
9.2
Question 5: Which level of computer vision corresponds to “feature extraction and segmentation”?
Low-level vision
Mid-level vision
High-level vision
Semantic vision
Question 6: If a digital image is sampled at twice the Nyquist rate, what happens?
No loss of information
Aliasing occurs
Image becomes noisy
Resolution decreases
Question 7: In a vision system, low-level processing mainly includes:
Object identification
Noise removal
Scene interpretation
Shape reasoning
Question 8: For an 8-bit image, if maximum gray level = 255 and quantization step size = 1, how many bits are needed?
6
8
10
12