Pixelation of bitmap images (pixel size, pixel density, resolution)

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SUMMARY

The discussion centers on the causes of pixelation in bitmap images when enlarged. Bitmap images are defined by their pixel resolution, while monitors have a fixed physical resolution that determines pixel density. When a bitmap image is enlarged, the graphical pixels increase in size, leading to visible pixelation as the discrete color transitions become apparent. The quality of the displayed image is influenced by both the original image resolution and the display resolution, with the screen resolution often acting as the ultimate bottleneck in image clarity.

PREREQUISITES
  • Understanding of bitmap image formats (e.g., JPG, PNG)
  • Knowledge of pixel density and resolution concepts
  • Familiarity with image processing techniques, including spatial filtering
  • Basic principles of digital imaging and display technology
NEXT STEPS
  • Research "Nyquist Post Filtering" and its impact on image quality
  • Explore techniques for "interpolating bitmap images" to reduce pixelation
  • Learn about "monitor resolution" and its effect on image display
  • Investigate "spatial frequency" in digital imaging and its relevance to pixelation
USEFUL FOR

This discussion is beneficial for graphic designers, digital artists, photographers, and anyone involved in image processing or display technology who seeks to understand and mitigate pixelation effects in bitmap images.

  • #31
.Scott said:
All common TV camera's create horizontal pixelation
I'd say it's more like Sampling. "Pixellation" only applies to 2D data and TV moves, so the temporal requirements are very relevant. If they wanted to just increase the resolution, they could slow the horizontal scan rate and use more lines - which would make movement even more jerky and flickery.
This is one of those topics that is very hard to keep on the rails of 'one point at a time'.
 
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  • #32
sophiecentaur said:
The speed of a convoy is the speed of the slowest ship.
I'll open up Pandora's box a bit.
When analyzing the effects of image capture, transmission, storage, retrieval, processing, and viewing, heavy use is made of the spatial frequency domain. In essence, each spatial frequency is a separate "convoy" - unless you want to open the Box all the way.

This is all grist for a course in Digital Signal processing - which I suspect both of us have taken.
 
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