Image Processing Device Gradation Distribution Analysis
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Solution Overview
Problem
Conventional image processing technologies face challenges in accurately determining the type of images, often resulting in false determinations due to their inefficiencies in analyzing image regions.
Innovation Solution
An image processing device that acquires image data with multiple-level gradation values, sets a partial range of gradation values, and determines the image type based on a criterion related to the degree of change in distribution of gradation values, using a processor and memory with computer-readable instructions to execute this process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing divides an image into blocks and calculates contrast for each block to determine image type, then the processing can be performed, but the determination accuracy is low and false determinations occur frequently
Solution Approach 1:
The patent changes the parameter used for image type determination from simple contrast to the degree of change in distribution of gradation values. This involves calculating the distribution of gradation values across multiple levels (not just binary contrast) and measuring how this distribution changes, providing a more nuanced and accurate basis for determining whether an image is a photograph, text, or drawing.
2Measurement precision
If the number of gradation value levels used for analysis is increased to improve accuracy, then determination precision improves, but the complexity of processing increases
Solution Approach 1:
The patent segments the gradation value range into multiple discrete levels (e.g., 0-255 for 8-bit images). By dividing the continuous gradation range into distinct segments or levels, the system can analyze the distribution of pixels across these segments without requiring overly complex continuous analysis, thus improving precision while managing processing complexity.
Data Source
AI summary
An image processing device performs: acquiring image data representing an image, the image data including a plurality of sets of pixel data each having a multiple-level gradation value, each gradation value falling within a predetermined range between and inclusive of a minimum gradation value and a maximum gradation value, a predetermined number of levels of gradation value falling within the predetermined range; setting a partial range of levels of gradation value, a first number of levels of gradation value in the partial range being smaller than the predetermined number; and determining that the image is a photograph image when the image meets a first criterion that a degree of change in distribution of gradation values is smaller than a reference value, the distribution of gradation value indicating a pixel number of sets of pixel data for each level of the gradation value falling within the partial range.