Image Processing Device Noise Amplitude Adjustment Error Diffusion
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Solution Overview
Problem
Display devices with low pixel gradation capability suffer from image quality deterioration due to contour lines and discontinuity, which existing error diffusion methods only partially address.
Innovation Solution
An image processing device with a noise output circuit, data synthesis circuit, and error diffusion process circuit that adjusts noise amplitude based on input data gradation, synthesizes noise data with input data, and performs error diffusion processing to enhance image quality by reducing dynamic pixels and luminosity changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If error diffusion method is used to improve image quality, then discontinuity of gradation is reduced, but contour lines still occur and image quality deteriorates
Solution Approach 1:
The invention converts the harmful effect of noise into a beneficial effect by intentionally adding noise data with adjusted amplitude according to gradation levels. This noise addition, when combined with error diffusion processing, prevents contour lines from forming while maintaining smooth gradation transitions. The noise that would normally degrade image quality is instead used to mask contour artifacts and improve overall image quality.
Solution Approach 2:
The invention changes the parameter of noise amplitude dynamically based on gradation levels. By adjusting the noise amplitude according to the specific gradation of input data, the system optimizes the balance between preventing contour lines and maintaining gradation continuity. Different gradation levels receive different noise amplitudes, allowing fine-tuned control over the error diffusion process.
2Manufacturing precision
If noise amplitude is increased to suppress contour lines, then image quality improves, but luminosity changes and flicker increase
Solution Approach 1:
The invention dynamically adjusts the noise amplitude parameter based on the gradation level of input data. By changing the noise amplitude according to specific gradation conditions, the system suppresses contour lines in regions where they occur while maintaining stable luminosity in regions where high noise amplitude would cause flicker. This conditional parameter adjustment resolves the contradiction between image quality improvement and luminosity stability.
3Ease of manufacture
If fixed noise amplitude is used in error diffusion, then processing is simple, but image quality deteriorates due to contour lines
Solution Approach 1:
The invention transitions from a static noise amplitude approach to a dynamic one by adjusting noise amplitude according to gradation levels. This dynamic adjustment allows the system to adapt to different image regions and content characteristics, improving image quality by preventing contour lines while maintaining reasonable processing complexity through algorithmic automation.
Data Source
AI summary
An image processing device includes a noise output circuit outputting noise data having an adjusted noise amplitude according to a gradation of input data, a data synthesis circuit synthesizing noise data output from the noise output circuit and the input data, and an error diffusion process circuit configured to perform an error diffusion process on data synthesized and obtained from the data synthesis circuit.