Digital Image Decoding Intermediate Resolution Data Selection
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Solution Overview
Problem
Existing digital image decoding methods, such as those under the JPEG2000 standard, limit image resolution to predefined levels, making it difficult to achieve intermediate resolutions with good quality while efficiently processing data, often requiring excessive data extraction or oversampling/subsampling, which increases resource usage.
Innovation Solution
A method that selects a lower predefined resolution, determines the necessary data quantity based on the desired resolution, decodes at that resolution, and subsamples to achieve the desired intermediate resolution, thereby reducing data processing and maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the image is decoded at a predefined lower resolution and then oversampled to an intermediate resolution, then the data processing quantity is reduced, but the image quality deteriorates
Solution Approach 1:
The patent applies partial action by decoding only the necessary portion of encoded data corresponding to the desired intermediate resolution, rather than decoding all data for the highest predefined resolution. The system calculates the exact data quantity needed based on the resolution ratio and decodes only that portion, avoiding unnecessary processing while maintaining image quality.
2Manufacturing precision
If the image is decoded at a predefined higher resolution and then subsampled to an intermediate resolution, then the image quality is maintained, but the data processing quantity increases
Solution Approach 1:
The patent extracts only the necessary encoded data corresponding to the desired intermediate resolution from the encoded file. By calculating the data quantity as a function of the resolution ratio, the system extracts and decodes only the required portion of data, eliminating the need to process excessive data for higher predefined resolutions.
3Manufacturing precision
If all encoded data is decoded to achieve an intermediate resolution, then the image quality is maximized, but the transmission time and memory usage increase
Solution Approach 1:
The patent changes the parameter of data quantity by calculating it as a function of the resolution ratio between the desired intermediate resolution and the highest predefined resolution. This parameter change allows the system to decode only the necessary proportion of data, reducing transmission time and memory usage while maintaining acceptable image quality.
4Ease of operation
If predefined resolutions are used for decoding, then the decoding process is simplified, but the resolution flexibility is limited
Solution Approach 1:
The patent introduces dynamics by allowing the selection of any intermediate resolution between the lowest and highest predefined resolutions, rather than being restricted to fixed predefined resolutions. The system dynamically calculates the data quantity and decoding parameters based on the desired resolution, providing continuous resolution flexibility while maintaining a simplified decoding process.
Data Source
AI summary
A method of decoding an encoded digital image, the encoded data of the image comprising a plurality of predefined resolutions, comprises the steps of:selecting a resolution lower than the highest of the predefined resolutions,determining the predefined resolution immediately above the selected resolution,determining a quantity of data of the determined predefined resolution, as a function of the ratio between the selected resolution and the determined predefined resolution,decoding the image at the determined predefined resolution, as a function of the determined quantity of data,subsampling the decoded image, as a function of the ratio between the selected resolution and the determined predefined resolution.