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

Answer & Solution

Answer: Option B
Solution:
Histogram equalization is commonly used to adjust image brightness and contrast.
Related Questions on Average

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

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 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

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

A). alterPixel()

B). setPixel()

C). adjustPixel()

D). modifyPixel()

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

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

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