Image Reading Compression Ratio by Document Type
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Solution Overview
Problem
Existing image reading apparatuses face interruptions in document reading due to varying data sizes after compression, which are not always optimal, leading to inefficiencies in communication and storage capacity management.
Innovation Solution
An image reading apparatus that determines a compression ratio based on the type of document, using modules for document-type identification and image compression, ensuring optimal data size and quality by adjusting compression ratios according to document type and communication speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If compression ratio is determined based on amount of image data, then data size after compression is reduced, but image quality deteriorates
Solution Approach 1:
The patent changes the parameter for determining compression ratio from 'amount of image data' to 'type of document'. Different document types (e.g., photographs, text documents, charts) are assigned different compression ratios, allowing optimization of both data size and image quality according to the specific characteristics of each document type rather than using a uniform compression approach.
2Loss of time
If compression ratio is determined based on communication capacity, then transmission time is reduced, but storage capacity is exceeded
Solution Approach 1:
The patent changes the determination parameter from 'communication capacity' to 'type of document'. By classifying documents into different types and assigning appropriate compression ratios to each type, the system ensures that compressed data fits within storage capacity while maintaining efficient transmission speeds, avoiding both time loss and storage overflow.
3Device complexity
If uniform compression ratio is used for all documents, then processing is simplified, but data size varies according to document characteristics
Solution Approach 1:
The patent applies local quality by treating different document types differently in terms of compression ratio. Instead of using a uniform compression ratio for all documents, the system assigns specific compression ratios tailored to the characteristics of each document type (e.g., higher compression for text documents, lower compression for photographs), optimizing data size for each local case while maintaining overall system simplicity through automated classification.
Data Source
AI summary
Provided are an image reading apparatus, a compression-ratio determination method and a computer-readable, non-transitory medium that can determine a compression ratio such that the data amount after compression would be optimal. The image reading apparatus includes an image generator for generating an input image by reading a document, a document-type identification module for identifying a type of the document, and an image compressor for compressing the input image, wherein the image compressor determines a compression ratio for compressing the input image, based on the type of the document.