Image Forming Apparatus Cloud Encoding Autoencoder
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Solution Overview
Problem
The existing image forming apparatuses face a high communication load when transmitting high-resolution image data to cloud servers for processing, which increases network traffic and resource utilization.
Innovation Solution
The apparatus employs an autoencoder model to encode image data into intermediate layer data, which is then transmitted to a cloud server for decoding, reducing the data capacity and communication load by using a communication interface and processor to specify encoding methods corresponding to different autoencoder models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution image data is transmitted to the cloud server for processing, then the image quality and processing accuracy are improved, but the communication load increases
Solution Approach 1:
The patent segments the image processing workflow into two parts: encoding is performed locally on the image forming apparatus, while decoding and processing are performed on the cloud server. This segmentation allows transmission of compressed intermediate data rather than full high-resolution images, reducing communication load while maintaining processing accuracy.
Solution Approach 2:
The patent introduces an autoencoder model as an intermediary mechanism that transforms high-resolution image data into compressed intermediate layer data. This intermediary representation maintains the essential information needed for accurate processing while significantly reducing the data volume that needs to be transmitted over the network.
2Measurement precision
If high-resolution image data is transmitted to the cloud server, then the processing quality is improved, but the network traffic increases
Solution Approach 1:
The patent changes the parameter representation of image data by transforming it through an autoencoder model. The original high-resolution image data is transformed into intermediate layer data with different dimensional characteristics, reducing the amount of data that needs to be transmitted while preserving the essential features needed for high-quality processing.
3Measurement precision
If high-resolution image data is transmitted to the cloud server, then the processing accuracy is improved, but the resource utilization increases
Solution Approach 1:
The patent extracts only the essential features and information from high-resolution image data through the encoding process, transmitting only this extracted information to the cloud server. This extraction approach maintains processing accuracy by preserving key features while eliminating redundant data that would otherwise consume server resources.
Data Source
AI summary
An image forming apparatus includes a communication interface, an encoder, and a processor. The communication interface communicates with a cloud server that executes decoding by any of a plurality of decoding methods corresponding to a plurality of autoencoder models. The encoder performs encoding by any of a plurality of encoding methods corresponding to the plurality of autoencoder models. The processor specifies an encoding method to the encoder to encode image data into intermediate layer data that is configured to be decoded by the cloud server and transmits the intermediate layer data and model information indicating the specified encoding method used for the encoding to the cloud server through the communication interface.