Image Processing Library C++ Edition v1.2 Introduction, Tutorial, and User Guide
IPL/C++ (image processing library C++ edition) is a result of two things: the need of useful common image processing routines, and the frustration of not being able to find a satisfactory and free one.
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A SYSTEM FOR IMAGE COMPRESSION USING WAVELETS AND GENETIC PROGRAMMING
In more recent studies, Genetic Programming has been shown to be useful when used in Image Compression. The major idea is to evolve a set of genetic programs which will output the image, and therefore storing references to this set of programs is needed for decompression. Eventually, it would be possible to find a large set of programs which can be parameterized and used to approximate all possible images. This paper builds upon previous work done in the spatial domain, and instead uses the Discrete Wavelet Packet Transform to simplify the image, and provide better quality levels at better compression ratios. Additionally, quantizing the image in the wavelet domain allows for easier evolution of genetic programs without sacrificing much in terms of image quality. This paper shows with compression ratios of up to 22:1 that genetic programming in the wavelet domain is indeed a feasible method of Image Compression.
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GDI+ Custom Controls with Visual C# 2005 Working with Images
Ever since Graphical User Interfaces (GUIs) were invented, developers have been keen to use images to make their programs easier to use, and more attractive and intuitive to their users. Images brighten up an otherwise boring and clinical computer screen, and make the general computing experience more enjoyable. Visual support facilitates the information absorption and presentation of up-to-date information. Any user can more easily understand information just by looking at a picture. Images are the most intuitive memories because the human mind in most cases has a visual memory. This means that when you recall a memory it is frequently a visual one. Think briefly of a tree. What comes to your mind first? Is it the roughness of bark, the taste of fruit or nuts, the smell of tree, the rustle of leaves-or is it a picture of a tree?
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