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Transformation and Image Enhancement
This course begins by introducing you to the properties of Discrete Fourier Transformation and those of Fourier Transformation. You will learn how Fast Fourier Transform is implemented understand the principle of operation of Discrete Cosine Transform(DCT) along with the fundamental difference between K-L Transform and other transformations. You will see an illustration of the rotation property of the discrete Fourier Transformation and also learn the distributive along with scaling properties of Fourier Transformation.The course then explains image enhancement techniques and the necessity of image enhancement operations. You will learn about contrast stretching as an image enhancement technique its importance and the reasons that may warrant its use. You will also learn about transformation techniques related to histogram-based processing where you will understand the meaning of a histogram image averaging and image subtraction.Next the course explains some implementation issues surrounding histogram equalization and specification comparing the performance of both techniques. Then you will learn about linear smoothing operation non-linear operations and sharpening filter. Finally you will understand the meaning of mask processing image averaging and the types of frequency domain techniques. Start this course today and learn valuable skills in image enhancement and transformation.
Disclaimer: Product information, including title, description, and images, is sourced/provided by our affiliate partner, Alison US CA.
Disclaimer: Some of the links on this website are affiliate links, meaning we may earn a commission if you click through and make a purchase. This comes at no additional cost to you.
By clicking the button above, you acknowledge that you will be redirected to a third-party website and agree to their terms and conditions.
Product information, including title, description, and images, is sourced/provided by our affiliate partner, Alison US CA.
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