Image Enhancement in the Spatial Domain Quiz

What is the main goal of image enhancement in the spatial domain?

• Detecting edges in images

• Improving interpretability for human viewers

• Converting images to grayscale

• Enhancing image resolution

What is the key difference between spatial domain methods and frequency domain methods in image processing?

• Spatial methods use convolution, while frequency methods use histograms

• Frequency methods are more suitable for color images

• Spatial methods are faster than frequency methods

• Spatial methods operate directly on pixels, while frequency methods operate on the Fourier transform

What is the main drawback of point processing in image enhancement?

• Spatial information is completely lost

• It is computationally expensive

• It requires complex algorithms

• It can only be applied to grayscale images

Why are power-law transformations popular in image enhancement?

• They are only applicable to specific image formats

• They are easy to implement

• They can correct gamma values for monitors

• They work well for grayscale images

What is the purpose of histogram equalization in image processing?

• To achieve an approximately uniform histogram

• To increase image resolution

• To reduce image noise

• To apply gamma correction