Method and system for improving display resolution in images using sub-pixel sampling and visual error filtering

Abstract

The present invention provides a method and an apparatus for converting a color image of a higher-resolution to an image of a lower-resolution. With the method of the present invention, based on characteristics of spatial frequency responses of the human visual system, a lower-resolution image (116) is formed by separating a higher-resolution image (72) into a luminance channel (76) and chrominance channels (98 & 100) so as to carry out suitable sampling and filtering for each of the luminance channel (76) and the chrominance channels (98 & 100), then by combing the luminance channel (86) and the chrominance channels (111 & 114) after the sampling. As to the chrominance channels (98 & 100), traditional sub-sampling (101 & 103) is carried out to avoid chromatic aliasing, while sub-pixel sampling (80) is performed for the luminance channel (76) to improve resolution of luminance component.

Description

technical field [0001] Embodiments of the present invention relate to the field of displaying high resolution images on a display having a lower resolution, wherein the display uses a tristimulus configuration to display the R, G, and B or other components of the image. Such triad configurations are common in direct view LCD displays, for example, and in such configurations a single pixel consists of 3 side-by-side sub-pixels. Each sub-pixel controls only one of the three primary colors (ie, R, G, and B), and each sub-pixel itself is typically controlled by only the primary color of a digital image display. High-resolution images may be available in memory, or may be available directly from algorithms (vector graphics, certain font designs, and computer graphics). Background technique [0002] The subject matter of this application is related to that filed on December 12, 2000, by Scott Daly, entitled "Methods and Systems for Improving Display Resolution using Sub-Pixel Sam...

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Problems solved by technology

Also, there is still some residual color error that can be seen, because the color aliasing phenomenon extends down to frequencies lower than the color CSF cutoff frequency (as seen in Fig. 6(b))

[0020] However, the vision model used does not take into account the masking nature of the visual system, which results in luminance-induced chromatic masking when luminance is at moderate to high contrast levels

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