Q
What is the purpose of applying image filters and effects using pixel manipulation techniques?

Answer & Solution

Answer: Option B
Solution:
Applying image filters and effects using pixel manipulation enhances the appearance of images.
Related Questions on Average

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

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 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 channel is primarily responsible for controlling image transparency?

A). Red channel

B). Green channel

C). Blue channel

D). Alpha channel

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 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 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

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 technique is commonly used to remove image noise and artifacts?

A). Sharpening effect

B). Histogram equalization

C). Gaussian blur effect

D). Color inversion effect

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