Display Apparatus Restoring High-Frequency Image Components
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Solution Overview
Problem
Display apparatuses face challenges in restoring high-frequency components lost due to image compression and enlargement, leading to degraded image fineness, particularly in transitioning from low-definition to high-definition content.
Innovation Solution
A display apparatus and image processing method that involves sampling pixel values to form patches, acquiring high-frequency components through blurring and weight adjustment, and applying these components to restore image texture, utilizing a processor to control storage and display units for enhanced image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image compression and enlargement are applied to transition from low-definition to high-definition content, then image resolution is improved, but high-frequency components and texture details are lost
Solution Approach 1:
The patent extracts high-frequency components from the input image through gradient calculations and patch-based analysis. By separating these components from the low-resolution image and processing them independently, the system recovers texture details that were lost during compression and enlargement operations.
Solution Approach 2:
The patent performs preliminary actions by first analyzing the input image to identify and extract high-frequency components before final image reconstruction. This includes calculating gradients, forming patches, and determining texture characteristics in advance of the final image generation process.
2Manufacturing precision
If conventional image processing is used without high-frequency restoration, then processing complexity is low, but image fineness and texture quality are degraded
Solution Approach 1:
The patent segments the image processing task into distinct stages: extracting high-frequency components through gradient calculations, forming patches from sampled pixel values, processing these patches independently, and finally reconstructing the image. This segmentation allows complex processing to be managed in manageable steps while improving image fineness.
Solution Approach 2:
The patent applies local quality by processing different regions of the image with appropriate techniques. Patches are formed from local pixel neighborhoods, and high-frequency components are recovered locally and applied back to corresponding regions, preserving local texture characteristics while improving overall image fineness.
Data Source
AI summary
A display apparatus is provided. The display apparatus includes an input interface, a first storage, a display, and a processor. Pixel values corresponding to a predetermined number of lines in an image input through the input interface are stored in the first storage. The processor acquires a first patch of a predetermined size by sampling a number of pixel values located in an outer region of a matrix centering about a specific pixel value from among the pixel values stored in the first storage, acquires a high-frequency component for the specific pixel value based on the acquired first patch, and processes the input image based on the high-frequency component. The display displays the processed image.