what are 5 graphic filter name and explain their effect
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- sharpening (Sharpening an image increases the contrast between bright and dark regions to bring out features. The sharpening process is basically the application of a high pass filter to an image. The following array is a kernel for a common high pass filter used to sharpen an image)
- bluring, (When we blur an image, we make the color transition from one side of an edge in the image to another smooth rather than sudden. The effect is to average out rapid changes in pixel intensity. ... Blurring is an example of applying a low-pass filter to an image.)
- Lens correction,(Lens corrections help offset imperfections present in nearly every camera image. These might include darkening near the corners of the frame, otherwise straight lines appearing curved, or color fringes near edge detail.)
- lens.blur (t lets you take a photo with a shallow depth of field)
- noise reduction (The Noise Reduction/Restoration > Noise Reduction effect dramatically reduces background and broadband noise with a minimal reduction in signal quality. This effect can remove a combination of noise, including tape hiss, microphone background noise, power-line hum, or any noise that is constant throughout a waveform.)
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