Chapter 1 Texture modelling for noise removal
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چکیده
The values of pixels in an image may, for various reasons, be known only imprecisely. If so, the texture of that image may be used to help estimate the true pixel values. Texture is the interrelation of pixels in an image; where there is texture, the value of one pixel may give clues as to the values of other pixels. This chapter describes how to find the most likely pixel values of an image where only upper and lower bounds on these values are known, using a texture model. Imprecise knowledge of an image usually takes the form of an image with additive noise. This noise might be generated as a result of storing an image in a lossy format such as JPEG or GIF, introduced while converting it from analogue to digital form, or produced by an analogue device. The amount of noise may depend on the position in the image, or even the content of the image. Restoration of images stored in lossy formats is of particular interest, given the large number of these images that now exist (for example, on the WorldWide Web). The novel feature introduced in this chapter, as compared to other methods 1
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