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The Power of Images: Exploring Information Visualization and Image Processing Techniques

This work delves into the proverb "A picture is worth a thousand words," emphasizing the impact of still images in conveying complex narratives and data. It explores key concepts in information visualization, such as pixel and voxel definitions, image resolution, and color models (RGB, CMYK, HSL). The study also covers various image formats, including BMP, GIF, TIFF, JPG, and PNG, along with essential image processing techniques like resizing, cropping, contrast adjustment, and color modification. Understanding these elements enhances the ability to visual data effectively.

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The Power of Images: Exploring Information Visualization and Image Processing Techniques

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  1. CAAD - Images Mirjana Devetakovic, M.Sc. Beograd, 2011.

  2. A picture is worth a thousand words A picture is worth a thousand words is a familiar proverb that refers to the idea that complex stories can be told with just a single still image, or that an image may be more influential than a substantial amount of text. It also aptly characterizes the goals of information visualization where large amounts of data must be absorbed quickly.

  3. “Imaginaire scientifique”

  4. Pixel and Voxel • Pixel – Picture Element • Voxel – Volume Element

  5. Resolution • Low-resolution images • High-resolution images

  6. Compression • RLE (Run-Length Encoding) • Quadtree encoding

  7. Color – RGB vs. CMYK http://www.sketchpad.net/

  8. Color – RGB Model http://www.couleur.org

  9. Color – CMYK Model(Cyan, Magenta, Yellow + blacK)

  10. Color – HSL Model (Hue, Saturation, Lightness)

  11. Palette

  12. Image Formats • BMP – (Bit Map, no compression) • GIF – (Graphic Interchange Format, Web based, 255 colors, supporting animated sequences) • TIFF – (Tagged Image File Format, printing) • JPG (JPEG) – (Joint Photographic Experts Group, photos and continuous tone images, compression settings) • PNG – (Portable Network Graphics)

  13. Image Processing • Resize • Crop • Contrast / Brightness • Hue / Saturation / Lightness

  14. Image Processing • Contrast / Brightness

  15. Color – Hue, Saturation, Lightness

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