Which of the following techniques is commonly used to adjust image brightness and 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 method is commonly used to manipulate individual pixels in an image?

A). alterPixel()

B). setPixel()

C). adjustPixel()

D). modifyPixel()

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

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 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

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 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 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

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