Dell products l.p. (20240135504). TEXT SHARPENING FOR LEGIBILITY ENHANCEMENT OR DISPLAY POWER SAVINGS simplified abstract

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TEXT SHARPENING FOR LEGIBILITY ENHANCEMENT OR DISPLAY POWER SAVINGS

Organization Name

dell products l.p.

Inventor(s)

Stefan Peana of Austin TX (US)

Daniel Hamlin of Round Rock TX (US)

TEXT SHARPENING FOR LEGIBILITY ENHANCEMENT OR DISPLAY POWER SAVINGS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135504 titled 'TEXT SHARPENING FOR LEGIBILITY ENHANCEMENT OR DISPLAY POWER SAVINGS

Simplified Explanation

The abstract describes a patent application for an information handling system that includes a display device and a processor. The processor converts RGB pixels to IPT pixels, sharpens them to identify edges of a text font, corrects edge overshoot and undershoot, reduces noise enhancement, retains grey text portions, and converts them back to RGB pixels for display.

  • Display device and processor in information handling system
  • Conversion of RGB pixels to IPT pixels
  • Sharpening of IPT pixels to identify text font edges
  • Correction of edge overshoot and undershoot
  • Reduction of noise enhancement
  • Retention of grey text portions
  • Conversion of IPT pixels back to RGB pixels

Potential Applications

This technology could be applied in digital imaging, graphic design, and text rendering applications.

Problems Solved

This technology solves issues related to edge detection, noise reduction, and color correction in text rendering.

Benefits

The benefits of this technology include improved text clarity, enhanced image quality, and more accurate color representation.

Potential Commercial Applications

Potential commercial applications for this technology include digital signage, printing, and display devices for electronic devices.

Possible Prior Art

One possible prior art for this technology could be image processing algorithms used in digital imaging software.

Unanswered Questions

How does this technology compare to existing edge detection algorithms in terms of accuracy and efficiency?

This article does not provide a direct comparison with existing edge detection algorithms, so it is unclear how this technology performs in relation to them.

What impact could this technology have on the user experience of digital displays and text rendering applications?

While the benefits of the technology are outlined, the specific impact on user experience is not discussed in detail.


Original Abstract Submitted

an information handling system includes a display device and a processor. the display device outputs pixels associated with a text font. the processor converts red, green, blue (rgb) pixels to image perspective transformation (ipt) pixels. the processor further sharpens one or more of the ipt pixels that do not have color. the sharpening of the one or more of the ipt pixels identifies edges of the text font and defines widths of the text font. the processor corrects edge overshoot and edge undershoot created by a digital filter. the edge overshoot and the edge undershoot are corrected for each ipt pixel associated with the text edges. the processor also reduces noise enhancement in the sharpened ipt pixels, retains grey text portions of each of the sharpened ipt pixels, and converts the ipt pixels to new rgb pixels. the processor outputs the new rgb pixels to the display device.