Redundancy in Image Processing
To understand Image redundancy or data redundancy in digital image processing lets look at the example. Let assume that 2 people Ramswarup and Suresh said a story. Suresh said the story in fewer words compare to Ramswarup where Ramswarup took too many words to said the same story. So either Ramswarup said un-relevant information/data which are not the part of the story or maybe he repeated his words more than once.
Redundancy refers to “storing extra information to represent a quantity of information”. So that is the redundancy of data now apply this concept on digital images we know that computer store the images in pixel values so sometimes image has duplicate pixel values or maybe if we remove some of the pixel values they don’t affect the information of an actual image. Data Redundancy is one of the fundamental component of Data Compression.
Redundancy in Digital Image Processing
Digital Image Processing means processing digital images by means of a digital computer. We can also say that it is the use of computer algorithms, in order to get enhanced images either to extract some useful information.
Note: For more information, refer to Digital Image Processing Basics
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