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

Answer & Solution

Answer: Option A
Solution:
The Gaussian blur effect primarily enhances edges and details in an image.
Related Questions on Average

What is the purpose of applying image filters and effects using pixel manipulation techniques?

A). To increase image resolution

B). To enhance image appearance

C). To reduce image size

D). To add text 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 effect can be achieved by increasing the contrast between adjacent pixels?

A). Sharpening effect

B). Sepia tone effect

C). Color inversion effect

D). Blur effect

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 technique is commonly used to remove image noise and artifacts?

A). Sharpening effect

B). Histogram equalization

C). Gaussian blur effect

D). Color inversion effect

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

Which statement is true about the performance impact of image filters and effects using pixel manipulation?

A). They always improve performance

B). They have no impact on performance

C). They often reduce performance

D). Performance impact depends on image size

Which filter is commonly used to reverse the colors in an image?

A). Grayscale filter

B). Color inversion filter

C). Sepia tone filter

D). Blur filter

Which channel is primarily responsible for controlling image transparency?

A). Red channel

B). Green channel

C). Blue channel

D). Alpha channel

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