Image Processor Super-Resolution Parameter Adaptation
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Solution Overview
Problem
Conventional super-resolution technologies fail to effectively enhance video sharpness across different types of video sources, such as broadcasting and internet streams, due to varying information amounts and noise levels, leading to noticeable noise and degraded image quality.
Innovation Solution
An image processor with a resolution increase module, detector, and controller that adjusts the degree of super-resolution processing based on detected information amounts, noise levels, and video types, using super-resolution parameters to estimate original pixel values and restore images to higher resolutions, thereby optimizing sharpness and noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If super-resolution processing is applied to videos with low information amount and high noise (e.g., CS broadcasting), then video resolution is increased, but noise becomes noticeable and sharpness degrades
Solution Approach 1:
The patent changes the processing parameters of super-resolution filtering based on the type of video signal. For videos with low information amount and high noise (e.g., CS broadcasting), the processing strength is reduced to minimize noise visibility. For videos with high information amount and low noise (e.g., BS broadcasting), the processing strength is increased to enhance sharpness. This parameter adaptation resolves the contradiction by dynamically adjusting the degree of super-resolution processing according to the specific video characteristics.
Solution Approach 2:
The patent introduces a detection mechanism that identifies the type of video signal (BS broadcasting, CS broadcasting, digital terrestrial broadcasting, analog terrestrial broadcasting, or Internet video) and provides feedback to control the super-resolution processing strength. This feedback loop enables the system to automatically adjust processing parameters based on the detected video type, ensuring optimal balance between sharpness enhancement and noise suppression for each video source.
2Adaptability or versatility
If equivalent super-resolution processing is applied to all video types, then processing simplicity is maintained, but video quality varies due to different information amounts and noise levels
Solution Approach 1:
The patent implements dynamic processing by making the super-resolution strength variable rather than fixed. The processing strength is dynamically adjusted based on the detected video type, transitioning from static equivalent processing to adaptive dynamic processing. This allows the system to optimize quality for each video type while maintaining a unified processing framework.
Solution Approach 2:
The patent applies different processing qualities to different video types. Instead of uniform processing, each video type (BS broadcasting, CS broadcasting, digital terrestrial broadcasting, analog terrestrial broadcasting, Internet video) receives tailored processing strength appropriate to its characteristics. This local quality differentiation enhances overall system adaptability without requiring completely separate processing systems.
3Manufacturing precision
If sharpening processes are used to enhance video appearance, then edge sharpness is improved, but the technique cannot generate new high-frequency component pixels needed for true super-resolution
Solution Approach 1:
The patent merges two previously separate processing approaches: super-resolution processing (which generates new high-frequency component pixels through interpolation) and sharpening processing (which enhances edge appearance). By combining these techniques and controlling their relative strengths based on video type, the system achieves both genuine resolution enhancement and visual sharpness improvement, resolving the limitation of using either technique alone.
Data Source
AI summary
According to one embodiment, an image processor comprises an image converter and a controller. The image converter is configured to convert a first video signal of a first resolution to a second video signal of a second resolution higher than the first resolution. The conversion is based on a parameter indicating a ratio of high-frequency component pixels of the first video signal to be interpolated and pixels forming the first video signal to be interpolated. The controller is configured to change the parameter based on a type of broadcast wave of the first video signal. The type of broadcast wave may include, but is not limited or restricted to satellite broadcasting or terrestrial broadcasting.