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

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

Which channel is primarily responsible for controlling image transparency?

A). Red channel

B). Green channel

C). Blue channel

D). Alpha channel

Which method is commonly used to manipulate individual pixels in an image?

A). alterPixel()

B). setPixel()

C). adjustPixel()

D). modifyPixel()

How does the color depth of an image affect the quality of image filters and effects?

A). Higher color depth results in better quality

B). Lower color depth results in better quality

C). Color depth has no impact on quality

D). Color depth affects image size only

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

What is the primary purpose of using blending modes in image editing software?

A). To create animations

B). To adjust image colors

C). To blend layers and colors

D). To resize images

How can a pixelation effect be achieved in image processing?

A). By adjusting image brightness

B). By applying a blur effect

C). By reducing image resolution

D). By increasing image contrast

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

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 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