“Salt-and-pepper” is a type of noise specific to images. It consists in white (salt) and black (pepper) dots, randomly scattered onto the image. In a positive representation of the image (beware! there are also negative representations) black corresponds to level 0 in the image, whereas white corresponds to the maximum level. The image itself may contain several hundred levels of intensity. It means that the statistics of salt-and-pepper are not about intensity, but about position of noisy points, along both the width and height. So we have a bi-dimensional uniform distribution. Hope this was helpful.... Do SUBSCRIBE and keep supporting EC Academy 👍
Sir make video on inverse and Weiner filters
hi dr can you help met to detect the noises from the image and what type of noises are there?
Perfect
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Hello Asif sir!
Can you please upload the next videos for DIP?
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Differentiate the salt noise and pepper noise
“Salt-and-pepper” is a type of noise specific to images. It consists in white (salt) and black (pepper) dots, randomly scattered onto the image. In a positive representation of the image (beware! there are also negative representations) black corresponds to level 0 in the image, whereas white corresponds to the maximum level. The image itself may contain several hundred levels of intensity. It means that the statistics of salt-and-pepper are not about intensity, but about position of noisy points, along both the width and height. So we have a bi-dimensional uniform distribution.
Hope this was helpful....
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