By Uvais Qidwai
Advent to photo Processing and the MATLAB EnvironmentIntroduction electronic photograph Definitions: Theoretical Account photograph homes MATLAB Algorithmic Account MATLAB CodeImage Acquisition, forms, and dossier I/OImage Acquisition photo kinds and dossier I/O fundamentals of colour pictures different colour areas Algorithmic Account MATLAB CodeImage ArithmeticIntroduction Operator fundamentals Theoretical TreatmentAlgorithmic Treatment Coding ExamplesAffine and Logical Operations, Distortions, and Noise in ImagesIntroduction Affine Operations Logical Operators Noise in pictures Distortions in ImagesAlgorithmic Account. Read more...
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Extra info for Digital Image Processing : An Algorithmic Approach with MATLAB
7 Summary • Images are defined as two-dimensional digital signals. • Images are formed by capturing the color intensity values from the real-world 3D views. • Each image element is called a pixel. • Each pixel is a function of its position in the image. For instance, x(i,j) represents a value of the light intensity at position ith row and jth column of the image. • The values of these pixels suffer degradation from the procedures of image representation as well as from external factors. • Image processing is the general name given to a number of operations, including image acquisition, image representation, image enhancement, image compression, image classification, etc.
Image arithmetic is the implementation of standard arithmetic operations, such as addition, subtraction, multiplication, and division, for images. Image arithmetic has many uses in image processing, both as a preliminary step in more complex operations and by itself. This chapter covers some of the most commonly used operations applied to digital images. The differences from matrix arithmetic will be pointed out at the appropriate places in the discussion. 2 Operator Basics Image arithmetic operators operate on either two images of exactly the same size or an image and a number.
In other words, the brightest red in a uint8 RGB image appears the same as the brightest red in a double RGB image. The difference is that the double RGB color cube has many more shades of red (and many more shades of all colors). 5 shows an RGB color cube for a uint8 image. ) RGB color cube for the 8-bit unsigned integer representation system. 4 Other Color Spaces MATLAB’s Image Processing Toolbox includes functions that you can use to convert RGB data to several common device-dependent color spaces, and vice versa.