Q
Which effect can be achieved by increasing the contrast between adjacent pixels?

Answer & Solution

Answer: Option A
Solution:
Increasing the contrast between adjacent pixels can achieve a sharpening effect in an image.
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

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

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

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

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

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

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

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 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

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