Image Processing Device Blank Image Determination
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Solution Overview
Problem
Conventional image processing devices face challenges in accurately determining whether an image is blank or non-blank due to noise images, such as minute dust, which can lead to incorrect classification of blocks as non-blank.
Innovation Solution
An image processing device that divides images into blocks and employs a two-step determination process to classify blocks as single-color, non-single-color, or non-determinative, with a subsequent process to determine if non-determinative blocks are single-color or non-single-color based on neighboring blocks, ultimately determining the image as blank based on the number of single-color and non-single-color blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If strict conditions are introduced to reduce noise image effects, then noise rejection is improved, but blocks containing thin lines or small letters are incorrectly judged as non-blank
Solution Approach 1:
The image is divided into multiple blocks for independent analysis. Each block is evaluated separately through two determination processes, allowing localized noise filtering while preserving genuine content in other blocks. This segmentation enables the system to handle noise in one block without affecting the overall image classification.
Solution Approach 2:
The patent applies two determination processes (first and second) to blocks, where the first process identifies candidate non-blank blocks and the second process confirms them. This partial excessive action ensures thorough noise filtering while maintaining sensitivity to genuine content through the multi-stage verification approach.
2Productivity
If conventional block determination is used, then processing speed is maintained, but incorrect classification occurs due to noise images
Solution Approach 1:
By dividing the image into blocks and processing them independently through standardized determination processes, the system maintains efficient parallel processing while improving accuracy. The block-based approach allows rapid evaluation of multiple regions without requiring complex global analysis.
Solution Approach 2:
The first determination process performs preliminary identification of candidate non-blank blocks, filtering out obvious noise cases before the second determination process provides final confirmation. This preliminary action structure enables fast initial screening while maintaining high accuracy through subsequent verification.
Data Source
AI summary
In an image processing device having an image processing unit, a first determination process determines whether each of the plurality of blocks is a single-color block, a non-single-color block, or a non-determinative block. Determination of the non-determinative block is made when neither a single block condition nor a non-single-block condition is met. A second determination process determines whether the non-determinative block is the single block or the non-single block based on a result of the first determination process with respect to a neighboring block neighboring the non-determinative block. The blank determination process determines whether the image is a blank image based on at least one of number of single color blocks determined in the first determination process or the second determination process and number of non-single-color blocks determined in the first determination process or the second determination process.