Remove Salt and Pepper Noise with Median Filtering

Remove Salt and Pepper Noise with Median Filtering

Let’s see how can we remove salt and pepper noise from the image by using Median filtering

What is Noise in the image ? Any real world sensor is affected by a certain degree of noise, whether it is thermal, electrical or otherwise. According to the wikipedia noise can be produced by the image sensor and circuitry of a scanner or digital camera. Image noise can also originate in film grain and in the unavoidable shot noise of an ideal photon detector. Image noise is an undesirable by-product of image capture that obscures the desired information. The original meaning of “noise” was “unwanted signal”; unwanted electrical fluctuations in signals received by AM radios caused audible acoustic noise (“static”). By analogy, unwanted electrical fluctuations are also called noise. Image noise can range from almost imperceptible specks on a digital photograph taken in good light, to optical and radio astronomical images that are almost entirely noise, from which a small amount of information can be derived by sophisticated processing. Such a noise level would be unacceptable in a photograph since it would be impossible even to determine the subject. There are different types of noises available.

image-processing opencv salt-and-pepper computer-vision

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