Image Frame Gradation Modification Using Weighted Blend Factors
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Solution Overview
Problem
Conventional image and video processing techniques introduce undesirable gradation, such as 'blocky' areas, which require computationally intensive detection and large support area filters, leading to high resource usage and the introduction of new noise.
Innovation Solution
The method employs a blend factor adjustment logic and image gradation modifying logic to modify gradation in images by applying weightings to previously processed portions, using one-dimensional processing to reduce blockiness without complex detection or large filters, and applies noise to mask remaining discontinuities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If complex detection capability and two-dimensional spatial filters with large support areas are used to address blocky areas, then the blocky appearance is reduced, but computational intensity and resource usage increase significantly
Solution Approach 1:
The patent segments the image processing task by separating smooth area detection from blocky area modification. It uses simple gradient-based detection to identify smooth areas, then applies one-dimensional filtering only in those identified regions, avoiding the need for complex global detection and large two-dimensional filters.
Solution Approach 2:
The patent applies different processing strategies to different regions of the image. Smooth areas identified by gradient analysis receive one-dimensional filtering to reduce blockiness, while other areas are processed differently or not at all. This localized approach reduces overall computational intensity compared to applying complex filters globally.
2Object-affected harmful factors
If dither is applied to mask blocky features, then the blocky appearance is reduced, but new false noise is introduced into the image frame
Solution Approach 1:
The patent converts the harmful blocky artifacts into beneficial smoothing effects by using them as guidance for selective filtering. The blocky regions identified through simple gradient analysis become the target areas for one-dimensional filtering, transforming the detection of blockiness into a useful guide for where to apply smoothing without introducing noise.
3Device complexity
If one-dimensional processing with weighting to previously processed portions is used, then computational intensity is reduced, but processing of blocky areas may be less effective
Solution Approach 1:
The patent performs preliminary detection of smooth areas using gradient analysis before applying the one-dimensional filter. This preliminary action identifies exactly where blocky artifacts are likely to occur, allowing the simple one-dimensional filter to be applied selectively to those regions, maximizing its effectiveness despite the simplicity of the filtering operation.
Data Source
AI summary
An apparatus and methods for modifying gradation in an image frame determine a blend factor indicating a first weighting associated with a previously processed portion of the image frame. The apparatus and methods generate a weighted value associated with a current region of the image frame based on the current region of the image frame and based on applying the first weighting to the previously processed portion of the image frame so as to modify the gradation in the image frame.