Image Enhancement Techniques

This quiz is designed to assess your understanding of various image enhancement techniques commonly used in remote sensing and GIS.

16 Questions Published

Questions

Question 1 Multiple Choice (Single Answer)

Which of the following is a spatial domain image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Principal Component Analysis
Question 2 Multiple Choice (Single Answer)

What is the purpose of histogram equalization?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To remove the haze from an image
Question 3 Multiple Choice (Single Answer)

Which of the following is a frequency domain image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Principal Component Analysis
Question 4 Multiple Choice (Single Answer)

What is the purpose of unsharp masking?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To remove the haze from an image
Question 5 Multiple Choice (Single Answer)

Which of the following is a multispectral image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Principal Component Analysis
Question 6 Multiple Choice (Single Answer)

What is the purpose of principal component analysis?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To reduce the dimensionality of a multispectral image
Question 7 Multiple Choice (Single Answer)

Which of the following is a noise reduction image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Median Filter
Question 8 Multiple Choice (Single Answer)

What is the purpose of a median filter?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To remove the haze from an image
Question 9 Multiple Choice (Single Answer)

Which of the following is a haze removal image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Dark Channel Prior
Question 10 Multiple Choice (Single Answer)

What is the purpose of a dark channel prior?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To remove the haze from an image
Question 11 Multiple Choice (Single Answer)

Which of the following is a color image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Color Balance
Question 12 Multiple Choice (Single Answer)

What is the purpose of color balance?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To adjust the color balance of an image
Question 13 Multiple Choice (Single Answer)

Which of the following is a pan-sharpening image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Brovey Transform
Question 14 Multiple Choice (Single Answer)

What is the purpose of pan-sharpening?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To merge a high-resolution panchromatic image with a low-resolution multispectral image
Question 15 Multiple Choice (Single Answer)

Which of the following is an image fusion image enhancement technique?

  1. Histogram Equalization
  2. Unsharp Masking
  3. Fourier Transform
  4. Wavelet Transform
Question 16 Multiple Choice (Single Answer)

What is the purpose of image fusion?

  1. To enhance the contrast of an image
  2. To reduce the noise in an image
  3. To sharpen the edges of an image
  4. To combine two or more images into a single image