Parallel Matrix Image Processing for Display Format Conversion
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Solution Overview
Problem
Display apparatuses face challenges in processing images of poor quality and mismatched formats, requiring adjustments in resolution and quality to meet user specifications efficiently.
Innovation Solution
An image processing method that acquires input images and output specifications, determines processing information for format and resolution adjustments, and performs parallel and matrix processing using available computing resources like NPUs, GPUs, and CPUs to enhance image quality and format conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image processing is performed sequentially on multiple images, then processing accuracy is maintained, but processing efficiency deteriorates
Solution Approach 1:
The patent divides image processing into three distinct stages: preprocessing (format conversion and resolution adjustment), image quality enhancement (super-resolution and denoising), and post-processing (final format and resolution optimization). Each stage can be independently optimized and executed in parallel across multiple images, improving overall processing efficiency while maintaining quality standards.
Solution Approach 2:
The patent performs preliminary format conversion and resolution adjustment in the preprocessing stage before quality enhancement. This preliminary action prepares images in a standardized format that optimizes subsequent processing steps, allowing parallel execution without compromising processing accuracy while significantly reducing total processing time.
2Manufacturing precision
If high-quality image enhancement is applied to all images, then image quality improves, but computing resource consumption increases
Solution Approach 1:
The patent applies different processing intensities to different images based on their initial quality and the desired output specifications. The image quality enhancement process dynamically adjusts processing parameters for each image, applying high-quality enhancement only where necessary while using optimized or simplified processing for images that already meet quality standards, thus balancing image quality improvement with computing resource conservation.
3Adaptability or versatility
If format conversion and resolution adjustment are performed multiple times, then format compatibility improves, but processing complexity increases
Solution Approach 1:
The patent performs all necessary format conversions and resolution adjustments during the preprocessing stage before image quality enhancement. By completing format adaptation early, the system avoids repeated format conversions during subsequent processing stages, reducing overall processing complexity while ensuring format compatibility is achieved. This preliminary action eliminates the need for multiple format adjustment passes.
Solution Approach 2:
The patent establishes a continuous processing pipeline where format conversion, resolution adjustment, and quality enhancement occur in sequence without interruption. This continuous action ensures format compatibility is maintained throughout processing while avoiding the complexity of discrete, repeated format adjustment operations. The pipeline processes images through all necessary transformations in a single coordinated pass.
Data Source
AI summary
An image processing method and a display apparatus are provided. The image processing method includes: acquiring an input image and an image output specification; determining image processing information for the input image; performing image processing, in accordance with the image processing information, on a plurality of images in the input image in a parallel and matrix manner. The performing image processing on the plurality of images in the parallel and matrix manner is referred to as performing processing on the plurality of images in parallel, and processes performed on each image include a preprocessing process, an image quality enhancement process and a post-processing process.