Cloud Server Image Resolution Enhancement via Layer Retrieval
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Solution Overview
Problem
4K televisions face a shortage of high-resolution content, leading to low-quality image transformation when using local interpolation methods, resulting in high costs and poor image definition.
Innovation Solution
An image processing method that involves a displaying terminal sending a low-resolution image to a cloud server, which queries and retrieves a matching high-resolution image from a database, and then sends it back to the terminal for processing, enabling pixel filling and composition to enhance image resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If local interpolation processing is performed on low-resolution images using a 4K television terminal device, then high-resolution images can be obtained, but the device requires extremely high configuration and the cost is relatively high
Solution Approach 1:
The patent introduces a cloud server as an intermediary between the terminal device and the image processing task. The terminal device sends low-resolution images to the cloud server, which performs the complex interpolation processing and returns high-resolution images. This mediator approach transfers the computational burden from the terminal device to the cloud server, resolving the contradiction between achieving high image resolution and maintaining simple terminal device configuration
Solution Approach 2:
The patent replaces the mechanical/computational processing system at the terminal device with a cloud-based processing system. Instead of relying on the terminal device's hardware capabilities to perform interpolation, the system substitutes this local mechanical processing with remote cloud-based processing, thereby reducing the configuration requirements of the terminal device while maintaining high image resolution output
2Manufacturing precision
If local interpolation processing is performed on low-resolution images using a 4K television terminal device, then high-resolution images can be obtained, but the transformed images are usually jagged, distorted, and fuzzy with poor actual definition
Solution Approach 1:
The patent applies preliminary action by performing image analysis and determining optimal processing parameters before the actual interpolation processing. The cloud server analyzes the low-resolution image characteristics, determines appropriate processing algorithms and parameters in advance, and then executes the processing. This preliminary analysis step ensures that the subsequent processing produces high-quality results with good definition, avoiding the jagged and distorted outcomes of direct interpolation
Solution Approach 2:
The patent implements feedback mechanisms where the cloud server processes images and returns results to the terminal device for display. The system uses feedback from image analysis results to adjust processing parameters and optimize the interpolation process. This feedback loop ensures that the processed images achieve high definition quality by continuously refining the processing based on actual image characteristics
3Productivity
If local interpolation processing is performed on low-resolution images, then image transformation can be achieved, but the processing efficiency is low and requires high device configuration
Solution Approach 1:
The cloud server acts as an intermediary that handles the computationally intensive image processing tasks. By transferring the processing workload to the cloud server, the system achieves high processing efficiency without requiring the terminal device to have high configuration. The intermediary approach allows the terminal device to maintain simplicity while still benefiting from efficient cloud-based processing
Solution Approach 2:
The patent shifts the processing dimension from local terminal device processing to remote cloud server processing. This dimensional change in where the processing occurs allows the system to leverage the cloud server's computational resources, thereby improving processing efficiency without increasing terminal device complexity. The spatial redistribution of processing tasks resolves the contradiction between efficiency and device configuration
Data Source
AI summary
The present disclosure provides an image processing method applied to a displaying terminal. The method includes: receiving a to-be-processed layer image delivered by the displaying terminal; querying a high resolution layer image matched with the to-be-processed layer image in a preset database based on the to-be-processed layer image; and delivering the high resolution layer image to the displaying terminal, thereby the displaying terminal processes the to-be-processed layer image based on the high resolution layer image. The present disclosure further discloses an image processing device, system and computer readable storage medium. According to the disclosure, an image resolution is improved.