Image Signal Processing With Area-Based Residual Weighting
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Solution Overview
Problem
Existing signal processing devices struggle to enhance image resolution while reducing noise and preventing excessive changes, particularly in edge and flat areas of input images.
Innovation Solution
A signal processing device and image display apparatus that includes a scaler, resolution enhancement processor, and image output interface, which adjusts weights and application strengths based on image areas to reduce noise and enhance resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If resolution enhancement processing is applied to input images, then image resolution is improved, but noise is generated in various areas of the input image
Solution Approach 1:
The patent applies different processing strategies to different areas of the image. Edge areas receive one type of processing while flat areas receive another type of processing. This local differentiation allows the system to enhance resolution in edge areas without amplifying noise in flat areas, thus resolving the contradiction between resolution enhancement and noise generation.
Solution Approach 2:
The patent segments the image into edge areas and flat areas based on image characteristics. By dividing the image into these distinct regions, the system can apply targeted resolution enhancement to edges while applying noise reduction to flat areas, thereby improving overall resolution without generating excessive noise.
2Measurement precision
If resolution enhancement based on learning is applied, then image resolution is enhanced, but excessive change occurs in the output image
Solution Approach 1:
The patent applies learning-based resolution enhancement selectively to edge areas where it is most needed, while maintaining original content in flat areas. This localized application prevents excessive changes in the overall image composition while still achieving significant resolution enhancement in critical regions.
Solution Approach 2:
The patent applies resolution enhancement partially only to edge areas rather than uniformly across the entire image. This partial action approach ensures that resolution is improved where it matters most (at edges) without causing excessive changes that would distort the overall image composition.
3Device complexity
If uniform weight is applied to differential image across all areas, then processing is simplified, but noise reduction is ineffective in specific areas
Solution Approach 1:
The patent applies different weights to the differential image based on image area type. Edge areas receive higher weights for noise reduction while flat areas receive different weighting. This local quality differentiation enables effective noise reduction in specific areas without excessively complicating the overall processing system.
Solution Approach 2:
The patent dynamically adjusts the weight applied to the differential image based on the detected image area. The weight is not fixed but varies according to whether the current region is an edge area or a flat area, allowing optimized noise reduction performance while maintaining manageable processing complexity through adaptive weighting.
Data Source
AI summary
A signal processing device and an image display apparatus including the same are disclosed. The signal processing device includes a scaler configured to scale input images of various resolutions to a first resolution, a resolution enhancement processor configured to perform learning on the input images and to output a residual image of the first resolution, and an image output interface configured to output an output image of the first resolution based on a scaling image from the scaler and the residual image from the resolution enhancement processor, and the image output interface changes a weight and an application strength of the residual image according to the area of the input image.