Image Processing Device Object Compression Based on Characteristic Amounts
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Solution Overview
Problem
Existing image processing technologies face challenges in compressing image data without significant degradation, often resulting in excessive compression that degrades the image quality.
Innovation Solution
An image processing device and method that acquires image data, calculates the characteristic amount of each object based on pixel value changes, sets a process order, and reduces object data size using a target value to generate reduced image data while minimizing image degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image compression is performed on all objects based on object attributes, then data size is reduced, but image quality degrades significantly due to excessive compression
Solution Approach 1:
The patent applies different compression rates to different objects based on their characteristic amounts. Objects with lower characteristic amounts (simpler, less detailed) receive higher compression rates, while objects with higher characteristic amounts (more complex, more detailed) receive lower compression rates or no compression. This localized differentiation of compression quality resolves the contradiction by optimizing compression per object rather than applying uniform compression to all objects.
Solution Approach 2:
The patent changes the compression rate parameter dynamically based on the characteristic amount of each object. By calculating a characteristic amount for each object and using it to determine an appropriate compression rate, the system adapts the compression parameter to match the complexity and importance of each object, thereby reducing overall data size while preserving image quality where necessary.
2Quantity of substance
If compression rate is increased to reduce data size, then data size decreases, but image degradation increases
Solution Approach 1:
The patent implements local quality control by assigning different compression rates to different objects based on their characteristic amounts. This ensures that only suitable candidates for compression (objects with low characteristic amounts) undergo high-rate compression, while important or complex objects maintain higher quality. The harmful effect of compression is localized to appropriate objects rather than affecting the entire image uniformly.
Solution Approach 2:
The patent uses the characteristic amount calculation as a feedback mechanism to determine appropriate compression rates. By evaluating each object's characteristic amount before compression and using this evaluation to control the compression rate, the system creates a feedback loop that prevents excessive compression of unsuitable objects, thereby minimizing image degradation while achieving data size reduction.
Data Source
AI summary
An image processing device includes a controller. The controller is configured to perform: acquiring image data having a plurality of objects; calculating an amount of characteristic of each of the objects, the amount of characteristic indicating a degree of change in pixel values; setting a process order based on the amount of the characteristic of each of the objects; setting a target value, the target value being a reference value to reduce a data size of the image data; reducing an object data size of at least one of the plurality of objects based on the process order in such a way that the data size of the image data becomes smaller than or equal to the target value, thereby generating a reduced object; and generating reduced image data having a data size smaller than the data size of the image data by using the reduced object.