Study of properties of two-dimensional discrete transformations in computer vision
The area of computer sight can be characterized as young, various and dynamically developing. And though there are earlier works, one may say, that intensive studying of this problem when computers could operate processing of big data sets, such as images began only with the end of the 1970th.Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s. The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive.