What does equalization accomplish in image processing?

What does equalization accomplish in image processing?

• A. It compresses the image for better storage
• B. It adjusts the contrast by modifying the intensity distribution of the histogram
• C. It enhances colors in the image
• D. It reduces artifacts in images

Answer: (B)

Equalization is a technique used in image processing to enhance the contrast of an image. This process modifies the intensity distribution of the histogram, which represents the distribution of pixel intensities in the image. By stretching the range of intensity values, equalization helps to utilize the full spectrum of brightness levels from dark to light. This results in an increased visual contrast, making features in the image more distinguishable and improving overall clarity. The primary goal of contrast adjustment through equalization is to transform the image such that its pixel intensity values are more uniformly distributed, thereby preventing any particular range of intensities from being too compressed or underrepresented. This improves the detail that can be observed, especially in areas of the image that were previously too dim or appeared washed out.

Equalization is a technique used in image processing to enhance the contrast of an image. This process modifies the intensity distribution of the histogram, which represents the distribution of pixel intensities in the image. By stretching the range of intensity values, equalization helps to utilize the full spectrum of brightness levels from dark to light. This results in an increased visual contrast, making features in the image more distinguishable and improving overall clarity.

The primary goal of contrast adjustment through equalization is to transform the image such that its pixel intensity values are more uniformly distributed, thereby preventing any particular range of intensities from being too compressed or underrepresented. This improves the detail that can be observed, especially in areas of the image that were previously too dim or appeared washed out.