Q
How does adjusting the hue and saturation of an image affect its appearance?

Answer & Solution

Answer: Option B
Solution:
Adjusting the hue and saturation of an image alters its colors and appearance.
Related Questions on Average

What happens when the alpha channel value of a pixel is set to zero?

A). The pixel becomes transparent

B). The pixel becomes opaque

C). The pixel becomes white

D). The pixel becomes black

Which technique is commonly used to remove image noise and artifacts?

A). Sharpening effect

B). Histogram equalization

C). Gaussian blur effect

D). Color inversion effect

Which effect can be achieved by setting all RGB channels of a pixel to the same value?

A). Sepia tone effect

B). Blur effect

C). Grayscale conversion

D). Color inversion effect

What does the Gaussian blur effect primarily enhance in an image?

A). Edges and details

B). Image brightness

C). Image color saturation

D). Image noise

How can a sepia tone effect be achieved using pixel manipulation techniques?

A). By increasing color saturation

B). By adjusting RGB channel values

C). By decreasing image brightness

D). By applying a blur effect

How can a mosaic effect be achieved in image processing?

A). By blurring image details

B). By applying color gradients

C). By dividing the image into blocks

D). By adjusting image brightness

What is the purpose of applying color gradients in image editing?

A). To add texture

B). To blend colors and create transitions

C). To reduce image size

D). To add noise to images

Which statement best describes the sharpening effect in image editing?

A). It increases image size

B). It reduces image contrast

C). It enhances image edges

D). It adds noise to images

Which channel is primarily responsible for controlling image transparency?

A). Red channel

B). Green channel

C). Blue channel

D). Alpha channel

What is the purpose of the blur effect in image processing?

A). To enhance image edges

B). To reduce image noise

C). To soften and blend image details

D). To increase image contrast