AI Scaler Filter Selection for Adaptive Display Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional rule-based smart systems are being replaced by AI systems that improve recognition rates and learn user preferences over time, but there is a need for a display apparatus that can efficiently process video signals using AI learning to enhance image resolution and quality.
Innovation Solution
A display apparatus equipped with an AI scaler comprising multiple filters that are selectively turned on or off based on control signals, utilizing AI learning to process video signals, and a lookup table generated by learning to set filter parameters, allowing for adaptive image resolution control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple filters are used in the AI scaler to process video signals, then image resolution and quality are enhanced, but device complexity increases
Solution Approach 1:
The patent implements dynamic filter selection where the controller selectively turns on or off different filters based on control signals. The AI scaler can switch between multiple filters (e.g., first filter, second filter, third filter) depending on the processing requirements, allowing the system to adapt its complexity level rather than always operating at maximum complexity.
Solution Approach 2:
The AI scaler is divided into multiple independent filters, each capable of performing specific processing functions. This segmentation allows the system to activate only the necessary filters for a given task, reducing overall device complexity while maintaining the capability to achieve high image resolution when needed.
2Manufacturing precision
If AI learning-based filters are selectively applied to process video signals, then image quality is enhanced, but processing time increases
Solution Approach 1:
The system dynamically adjusts processing time by selectively applying AI learning-based filters only when necessary. The controller determines which filters to activate based on the video signal characteristics and processing requirements, allowing faster processing when simple filters suffice and allocating more time when high-quality AI-based filtering is needed.
Solution Approach 2:
The patent applies partial action by using fewer filters when the image quality improvement is sufficient, and only activating all necessary filters when higher quality is required. This selective application of filtering algorithms optimizes the balance between processing time and image quality enhancement.
Data Source
AI summary
Disclosed are a display apparatus and a method of controlling the same, the display apparatus including: a video decoder configured to decode a video signal; and an artificial intelligence (AI) scaler including a plurality of filters provided to make an output of a certain filter be used as an input of another filter, and configured to control a resolution of an image by processing the decoded video signal, each of the plurality of filters being selectively turned on or off based on a control signal, the filter being turned on processing the video signal based on a parameter set by learning, and the filter being turned off bypassing and outputting the input video signal.