How can a pixelation effect be achieved in image processing?

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 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 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

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

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

A). It changes image size

B). It alters image colors

C). It reduces image noise

D). It adds transparency to images

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

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