Image Processing System for Non-Standard Signal Adaptation
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Solution Overview
Problem
Existing electronic devices struggle to automatically process and output ultra-black or ultra-white signals, which are not indicated by most video sources, leading to inefficient manual adjustments that affect normal signal output and user experience.
Innovation Solution
An image processing method that automatically determines and converts non-standard images into standard images adapted to the device's signal output range, eliminating the need for user manual adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment is performed by the user to display ultra-black or ultra-white signals, then the display of extreme signals is improved, but the normal signal output range is affected and display quality deteriorates
Solution Approach 1:
The system performs preliminary detection of ultra-black or ultra-white signals in the image data before output. When such signals are detected, the system automatically adjusts the signal range in advance to accommodate these extreme values, ensuring that both ultra-black/ultra-white signals and normal signals can be displayed correctly without quality loss.
Solution Approach 2:
The system dynamically adjusts the signal output range based on the content of the image data. Instead of using a fixed signal range, the system adapts the range automatically according to whether ultra-black or ultra-white signals are present, allowing flexible accommodation of different image types while maintaining display quality.
2Ease of operation
If automatic conversion of non-standard images is implemented, then user operation convenience is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting and processing ultra-black or ultra-white signals without requiring user intervention. The image processing unit autonomously identifies extreme signals and adjusts the output range, eliminating the need for manual user operations while maintaining simple interaction.
Solution Approach 2:
The system incorporates feedback mechanisms where the image processing unit continuously monitors the input image data for ultra-black or ultra-white signals and automatically adjusts the signal output range accordingly. This closed-loop feedback enables automatic adaptation to different image types without complex user input.
Data Source
AI summary
An electronic device and an associated image processing method are disclosed. The method includes: receiving an image to be processed, and determining whether the image to be processed is a non-standard image; when the determination result is affirmative, automatically converting the image to be processed as a non-standard image into a standard image adapted to a signal output range of the electronic device; and outputting the standard image. With the above method, a non-standard image can be converted to a standard image and outputted without involving manual adjustment of a user, thereby improving image output effects of the electronic device and satisfying user utilization requirements.