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 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
Which method is commonly used to manipulate individual pixels in an image?
A). alterPixel()
B). setPixel()
C). adjustPixel()
D). modifyPixel()
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
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 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
Which of the following techniques is commonly used to adjust image brightness and contrast?
A). Color inversion
B). Histogram equalization
C). Sepia tone effect
D). Grayscale conversion
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