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

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 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

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

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

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 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 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 channel is primarily responsible for controlling image transparency?

A). Red channel

B). Green channel

C). Blue channel

D). Alpha channel

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