Unit I IMAGE FUNDAMENTALS

3. System output for a point input; describes blurring.
5. The closeness of a processed image to the original.
7. Number of bits used to represent each pixel’s intensity.
8. Describes blur, noise, or distortions introduced in an image.
10. The process by which the human visual system interprets visual information.
14. Distortion caused when sampling violates the Nyquist criterion.
15. Mapping continuous values to a limited set of discrete levels.
16. A comparison between useful signal and unwanted disturbances.
18. The improvement of a degraded image using known models.
19. The smallest detail an imaging system can distinguish.
20. A mathematical operation used to combine image and filter functions.

1. The number of intensity changes per unit distance in an image.
2. The reaction of the visual system to spatial patterns and intensities.
4. Ability of the eye to detect differences between light and dark patterns.
6. A measure of average squared difference between original and quantized values.
7. The eye’s adjustment to different illumination levels.
9. Measures how well an imaging system preserves contrast at different frequencies.
11. The measurable amount of light intensity from a surface.
12. Minimum sampling frequency needed to avoid aliasing.
13. Converting continuous images into discrete grid points.
17. Mathematical representation of an image’s intensity function.