Image Compression Device Using High-Frequency Integration Correction
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Solution Overview
Problem
Existing image compression methods require significant processing time when multiple image processes change the frequency characteristics of images, particularly in digital cameras that perform resizing and other image adjustments.
Innovation Solution
A method that integrates the high-frequency component of image data, corrects the integrated value based on frequency changes caused by image processing, and calculates a quantization scale to achieve high-speed compression by using a system comprising a high-frequency integrator, corrector, and encoder within a digital camera.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each processed image is operated on to integrate the high-frequency component, then compression quality is maintained, but processing time increases significantly
Solution Approach 1:
The patent performs the high-frequency integration operation only once on the original image before any image processing. The integrated values are then corrected based on the type of processing applied (resizing, sharpness adjustment, etc.), avoiding the need to re-integrate for each processed image. This preliminary action significantly reduces processing time while maintaining compression quality.
Solution Approach 2:
The patent changes the approach from recalculating integrated values to correcting existing integrated values based on processing parameters. Different image processing operations have known effects on frequency characteristics, so correction factors are applied to the pre-calculated integrated values to account for these changes, eliminating redundant computation.
2Adaptability or versatility
If multiple image processes are applied to original images, then image quality and versatility are improved, but overall processing time increases
Solution Approach 1:
The system performs the computationally intensive high-frequency integration once on the original image, storing the results for later use. When multiple processed images need compression, the pre-integrated values are corrected and reused, enabling fast compression for multiple images with different processing applied.
Solution Approach 2:
The patent creates a universal integrated value from the original image that can serve as a basis for compressing multiple processed images. By correcting this single integrated value according to different processing types (resizing, sharpness, etc.), the system achieves versatile support for multiple image processes without repeating the integration operation.
Data Source
AI summary
A high-frequency integrator acquires a first integrated value by integrating a high-frequency component of first image data. A corrector handles second image data, which is obtained when an image processor subjects the first image data to an image process affecting frequency characteristics, and acquires a second integrated value by correcting the first integrated value acquired by the high-frequency integrator in accordance with a change in the frequency characteristics that is brought about by the image process. An encoder calculates, in accordance with the second integrated value acquired by the corrector, a quantization scale for compressing the second image data acquired by the image processor to a predefined number of bytes at once, and compresses the second image data accordingly.