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 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 channel is primarily responsible for controlling image transparency?
A). Red channel
B). Green channel
C). Blue channel
D). Alpha channel
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 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
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 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 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