Q
How can a pixelation effect be achieved in image processing?

Answer & Solution

Answer: Option C
Solution:
A pixelation effect in image processing can be achieved by reducing the image resolution.
Related Questions on Average

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

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

A). alterPixel()

B). setPixel()

C). adjustPixel()

D). modifyPixel()

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 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

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

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 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 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 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

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