Q
Which statement is true about the performance impact of image filters and effects using pixel manipulation?

Answer & Solution

Answer: Option C
Solution:
Image filters and effects using pixel manipulation often reduce performance due to processing requirements.
Related Questions on Average

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

A). alterPixel()

B). setPixel()

C). adjustPixel()

D). modifyPixel()

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 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 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

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

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

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

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

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

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