Preview Image Compression for Rapid Quantization Table Determination
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Solution Overview
Problem
Conventional image capturing apparatuses require a longer time to compress image data into a predetermined target size as they only compress images during the capturing mode, without pre-evaluating image complexity or adjusting compression settings accordingly.
Innovation Solution
The apparatus compresses a preview image in advance during the preview mode, assessing image complexity based on high-frequency components, resolution, and size, and uses this analysis to determine an initial quantization table for rapid compression of captured images upon entering the capturing mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image capturing apparatus compresses image data only during capturing mode, then the compression process can be performed with complete image data, but the time required to reach the compression target is extended
Solution Approach 1:
The patent applies preliminary action by performing initial compression processing during preview mode before the actual capturing mode. The apparatus compresses preview image data using a preview quantization table to generate preliminary compression results, which are then used to determine the initial quantization table for subsequent full-image compression. This preliminary processing reduces the computational burden and time required during capturing mode compression.
Solution Approach 2:
The patent implements dynamics by adaptively adjusting the quantization table based on image complexity assessment. The apparatus evaluates the complexity of preview images and uses this information to dynamically determine the initial quantization table for capturing mode compression. This dynamic adjustment allows the system to optimize compression parameters based on actual image characteristics, improving both speed and accuracy.
2Device complexity
If the apparatus uses a default quantization table for compression, then the compression process is simpler, but the compression efficiency and ability to reach target size is reduced
Solution Approach 1:
The patent applies parameter changes by modifying the quantization table parameters based on image complexity. Instead of using a fixed default quantization table, the apparatus changes the quantization parameters according to the assessed complexity of the preview image. This allows the compression process to adapt to different image characteristics, significantly improving compression efficiency and the ability to reach target file sizes.
Solution Approach 2:
The patent implements feedback by using the results of preview image compression to inform the compression settings for capturing mode. The apparatus compresses preview images, evaluates the compression results and image complexity, and then uses this feedback to determine the initial quantization table for subsequent full-image compression. This feedback loop ensures that compression parameters are optimized based on actual image characteristics.
Data Source
AI summary
An image capturing method including following steps is provided. A preview image is captured and compressed into a compressed preview image according to a preview quantization table. An image complexity is judged by determining the amount of high frequency components the preview image has according to a set of factors consisting of the preview quantization table, a resolution of the preview image and a size of the compressed preview image. The more the amount of high frequency components the preview image has, the higher the image complexity. A to-be-captured image is captured. An initial quantization table is determined according to a set of factors consisting of the image complexity, a resolution of the to-be-captured image and an image compression target. The to-be-captured image is compressed into an output image according to the initial quantization table.