High Performance Computer Imaging
Today, widespread availability of powerful desktop computers with color display capabilities has brought computer imaging within practical reach of the end user. Both the users and implementors of computer imaging products have faced until now a scarcity of useful literature on its practice. This book bridges the gap between the theory and the practice of computer imaging. For product developers, it addresses all the unique problems that arise when designing imaging software or related products. For end users, it clarifies the subtleties and simplifies complexities that can lead to better performance by these products.
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acquisition display and storage
the processing engine
Imaging software design
11 other sections not shown
accelerator algorithm alpha blending application bands bilinear interpolation bits block bytes cameras Chapter coefficients color images color quantization color space components computer imaging conversion convolution kernel Convolve data compression decoding decompression define desktop destination image destination pixel device-dependent devices digital images discussed display dpix dpixptr edge encoding example execution float frame buffer geometric graphics hardware histogram Huffman coding IDCT image processing imaging functions imaging operations imaging product imaging software implementation input interpolation inverse mapping Java JPEG linear filters lookup table ltmdn median filter memory microprocessor MPEG one-dimensional output parameters pci_image dest performance PhotoCD pixel values processor quantization reference register int register unsigned char requires result scaling scanner Section shown in Figure signal source image source pixel specification spix src->data stored subband table lookup techniques tion transform two-dimensional unsigned int vector Visual Instruction Set void zoom