Image processing method based on low-power edge sharpening

Low-Power Screen Sharpening Method Based on Luminance High-Frequency Emphasis and Histogram Equalization

This technology is an edge-sharpening image processing method designed to produce clear images even on low-power screens operating at lower brightness. It applies high-pass filtering and correction to luminance data extracted from color images, combines it with the original luminance, and then synthesizes it back with chrominance data after histogram equalization.

Flat-panel displays like OLEDs and PDPs require high brightness for optimal color quality, leading to significant power consumption. In battery-powered mobile devices, lowering brightness often results in dark, blurry images, making it difficult to balance power efficiency with image quality.

This technology enhances high-frequency components in dark images by weighted summation of high-frequency emphasized luminance data—calibrated with tuning parameters—followed by histogram equalization. Since chrominance components remain unchanged, sharpness is improved without color distortion. It can be applied to power-saving modes in smartphones and wearables, keeping text and outlines crisp even at lower brightness levels.

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Key Features:

• Generating high-frequency emphasized image data by performing high-pass filtering on luminance data extracted from color image data
• Correcting the high-frequency emphasized image data using a formula with a tuning parameter greater than 0 and less than 10
• Performing histogram equalization after weighted summation of the corrected high-frequency emphasized image data and the luminance data
• Generating new color image data by synthesizing the histogram equalization result with the chrominance data of the color image data

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