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

Answer & Solution

Answer: Option C
Solution:
A mosaic effect in image processing can be achieved by dividing the image into blocks.
Related Questions on Average

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 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 of the following techniques is commonly used to adjust image brightness and contrast?

A). Color inversion

B). Histogram equalization

C). Sepia tone effect

D). Grayscale conversion

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 technique can be used to create a vignette effect in photography?

A). Adjusting image brightness

B). Blurring image edges

C). Adding color gradients

D). Applying a sepia tone effect

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 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 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

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 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