1 / 17

Understanding the HSV Colour Model: Primary and Secondary Colors Explained

The HSV Colour Model is a visual representation of colors defined by three parameters: hue, saturation, and value. This model includes primary colors (Red, Green, Blue) and secondary colors (Cyan, Magenta, Yellow), as well as tertiary colors that blend these hues. The essence of color perception is influenced by light, physiology, and psychology. Additionally, digital imaging techniques, such as pixel storage and compression, utilize color models to efficiently represent image data. Explore the fascinating interplay of color and technology in visual experiences.

cole-freeman
Télécharger la présentation

Understanding the HSV Colour Model: Primary and Secondary Colors Explained

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. HSV colour model Primary colours Red Green Blue Secondary Cyan Magenta Yellow Secondary=White-Primary (create colors for print) Source: http://www.ncsu.edu/scivis/lessons/colormodels/color_models2.html

  2. HSV colour model, tertiary colours Add the colours between primary and secondary

  3. HSV colour model • Colour specified by 3 parameters: • hue (angle on disc) • saturation (how dominant is the hue relative to the other colours) • value (overall intensity of the light)

  4. HSV colour model

  5. Colour = sensation. It is determined by: • Light • Physiology • Psychology Experiment

  6. Read the colors of the words in col 1, then col 3, then col 2:

  7. Experiments with optical illusions: http://www.michaelbach.de/ot/col_lilacChaser/index.html

  8. Capturing images (with digital camera…) Charge motion Charge motion Image area (exposed to light) Parallel (vertical) registers Pixel Serial (horizontal) register Output amplifier masked area (not exposed to light) (slides by Claudio Cumani, European Southern Observatory) 9

  9. Representing the intensity of a primary color (eg. Red) • left: 3 bits per color (numbers 0 to 7) • right: 8 bits per color (numbers 0 to 255)

  10. Lossless compression • original x by y pixels • stored: the color of every pixel, row by row

  11. Lossless compression • original x by y pixels • stored: the color of every pixel, row by row • A lot of black pixels! • (R,G,B=0,0,0) • Replace sequence of black pixels by 2 numbers: • “0, n” • n - nr repetitions.

  12. Image from a digital camera (10MB) stored as 128kB

  13. JPEG compression 8x8 blocks of pixels

  14. <- 1 block.

  15. We can store the average value for every block

  16. What if we stored the average for 4x4 blocks?

More Related