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Issues in Digital Image Acquisition

This overview explores issues in digital image acquisition devices, including scanners, video digitizers, and digital cameras. It delves into fundamental concepts such as spatial resolution, brightness quantization, and the representation of images in various formats, including binary, greyscale, and true color. Key focus areas include the significance of pixel depth, spatial resolution variations (e.g., 128x128, 256x256), and the use of look-up tables (LUTs) in pseudocolor images. This comprehensive guide aims to enhance your understanding of how images are captured and represented digitally.

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Issues in Digital Image Acquisition

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  1. Issues in Digital Image Acquisition

  2. devices scannervideo digitizerdigital cameradigital video sensor organization line scan sensorsarea sensors Digital Image Acquisition

  3. X origin Y Digital Image Representation f(x,y) Monochrome image - a two-dimensional light intensity function f(x,y)

  4. Spatial Resolution • Brightness Quantization

  5. 128x128 64x64 Spatial Resolution 256x256

  6. 128x128 64x64 32x32 16x16 Spatial Resolution 256x256

  7. G=64 G=16 G=8 G=4 G=2 Brightness Quantization G=256

  8. Benchmark Images

  9. Benchmark Images

  10. Benchmark Images

  11. Benchmark Images

  12. Digital Representations

  13. Digital Representations Binary image 1 bit/pixel

  14. Digital Representations Greyscale 8 bits/pixel

  15. Digital Representations True color 24 bits/pixel

  16. Digital Representations Red channel 8 bits/pixel Green channel 8 bits/pixel Blue channel 8 bits/pixel True color - 24 bits/pixel

  17. Digital Representations Pseudocolor 8 bits/pixel + look-up table (LUT)

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