Pixel Tone Correction Coefficient Calculation for Image Artifact Suppression
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Solution Overview
Problem
Existing image signal processing technologies face challenges in generating high-definition images with minimal artifacts, particularly in high-contrast scenes, due to fixed tone characteristics and lack of independent tone correction for each area, leading to increased noise components and color reproduction failures.
Innovation Solution
An image signal processing apparatus that calculates and applies correction coefficients for each pixel and its neighborhood area, allowing for independent tone correction and restriction, thereby enhancing image quality while suppressing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If independent tone correction is applied to each area, then image quality is improved, but device complexity increases
Solution Approach 1:
The image is divided into multiple local areas, and tone correction is independently applied to each area. This segmentation allows the system to handle complex image processing tasks in smaller, more manageable units, improving overall image quality while controlling processing complexity through localized operations.
Solution Approach 2:
Different tone correction characteristics are applied to different local areas of the image based on their specific requirements. This local quality approach ensures that each area receives optimized processing tailored to its characteristics, enhancing overall image quality without requiring uniform complex processing across the entire image.
2Manufacturing precision
If tone correction is applied without restriction, then image quality is improved, but artifacts such as noise increase
Solution Approach 1:
The system dynamically adjusts correction coefficients based on local image characteristics and applies restrictions to tone correction parameters. By changing parameters adaptively and imposing appropriate constraints, the system improves image quality while preventing excessive correction that would generate noise artifacts.
Solution Approach 2:
The system evaluates local image characteristics and adjusts tone correction parameters accordingly, with feedback mechanisms that prevent over-correction. This feedback control ensures that correction operations improve image quality while maintaining acceptable noise levels by adapting to local conditions.
3Ease of operation
If fixed tone characteristics are used, then processing simplicity is maintained, but image quality deteriorates in unordinary situations
Solution Approach 1:
The system transitions from fixed tone characteristics to dynamic, adaptive tone correction. Correction coefficients and parameters are adjusted based on local image characteristics, allowing the system to maintain processing simplicity through automated adaptation while significantly improving image quality in various shooting situations including unordinary scenes.
Data Source
AI summary
The invention provides an image signal processing apparatus, an image signal processing program and an image signal recording medium, each capable of generating high-definition image signals with no or little artifacts. The image signal processing apparatus adapted to implement tone correction of an image signal comprises correction coefficient calculation block (112) for calculating a correction coefficient for a pixel of interest in that image signal and a neighborhood area, transformation block (110) for applying tone correction processing to that pixel of interest, and correction block (111) for using that correction coefficient to make correction of each pixel after that tone correction processing. An image signal of each pixel of interest from correction block (111) is forwarded to compression block (113), and at a time when all image signals are in order, compression processing such as known JPEG is applied to them for their forwarding to output block (114).