Anti-Vibration Image Selection via Compressed Frame Data Length
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Solution Overview
Problem
Existing digital cameras face challenges in reducing unclear images due to vibration, as current methods require additional devices for analyzing image frames, increasing costs and complexity.
Innovation Solution
A method and apparatus that capture multiple raw image frames, compress them, and select a clearer frame based on the data length of the compressed images, using an image capture unit, compression unit, and selection unit to determine the vibration level and clearness without additional hardware or software analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple image frames are captured and analyzed to select the clearest frame, then vibration reduction effectiveness is improved, but device complexity and cost increase due to requiring extra analysis devices
Solution Approach 1:
The patent extracts only the essential feature needed for clarity judgment - the data length of compressed image frames - rather than requiring full image analysis. By taking out this key indicator, the system achieves vibration reduction without needing complex analysis devices, resolving the contradiction between effectiveness and complexity
Solution Approach 2:
The patent introduces compressed image frame data length as an intermediary parameter that mediates between the captured image frames and the selection process. Instead of directly analyzing image clarity, the system uses data length as a proxy indicator, simplifying the selection mechanism while maintaining effectiveness
2Reliability
If multiple image frames are captured and analyzed to select the clearest frame, then vibration reduction effectiveness is improved, but cost increases due to requiring extra analysis devices
Solution Approach 1:
The patent extracts only the data length parameter from compressed image frames, eliminating the need for expensive analysis devices. This extraction approach maintains vibration reduction effectiveness while significantly reducing manufacturing cost
Solution Approach 2:
The patent uses inexpensive data length measurement instead of costly image analysis equipment. The data length information is a byproduct of compression that can be obtained at minimal additional cost, making the solution economically viable
3Measurement precision
If the real context of each whole image frame is analyzed, then image clarity selection accuracy is improved, but processing time increases
Solution Approach 1:
The patent extracts only the data length feature from compressed image frames, which can be obtained rapidly during the compression process itself. This extraction method provides sufficient accuracy for clarity selection without requiring time-consuming whole-frame analysis
Solution Approach 2:
The patent performs the clarity assessment action preliminarily by using data length information that is already generated during compression. This preliminary availability of clarity indicators eliminates the need for separate, time-consuming analysis steps after compression
Data Source
AI summary
A method for obtaining a still image frame with anti-vibration clearness includes the following steps. Multiple raw image frames are captured during a capturing period according to a capturing instruction. The raw image frames are compressed respectively, according to a predetermined compression rule, into multiple compressed image frames each of which has a data length after such compression. The compressed image frames are stored according to a predetermined sequence. The data lengths of the compressed image frames stored are compared according to the predetermined sequence. The desired still image frame is obtained through the compressed image frame of which the data length has a unique feature among all the compressed image frames.


