Image Decoding Apparatus Error Detection via Coding Unit Size Validation
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Solution Overview
Problem
Current image decoding methods struggle to accurately detect errors in bitstreams, particularly when the image size is not an integral multiple of the smallest coding unit, leading to potential decoding failures or errors.
Innovation Solution
An image decoding method that extracts the size of the image and the smallest coding unit from the bitstream, judges whether the image size is an integral multiple of the smallest coding unit, and decodes the image signal only when it is, while also allowing for error detection and correction by calculating and cropping padding rows or columns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the image size is not an integral multiple of the smallest coding unit, then the decoding process may fail or produce errors, but strictly requiring integral multiples reduces adaptability to different image sizes
Solution Approach 1:
The patent introduces a validation step before decoding that checks whether the image size is an integral multiple of the smallest coding unit. This preliminary check prevents decoding errors by identifying invalid bitstreams early, while still allowing the system to handle various image sizes through proper error messaging rather than rigid rejection
Solution Approach 2:
The patent implements a feedback mechanism where the decoding apparatus validates the relationship between image size and coding unit size, then provides appropriate error messages or corrections. This feedback loop maintains decoding reliability by preventing invalid operations while preserving adaptability through informative error handling that guides correction
2Measurement precision
If error detection is performed by checking integral multiple relationship, then error detection accuracy improves, but the device complexity increases due to additional validation steps
Solution Approach 1:
The patent makes the bitstream self-validating by including size information that can be checked against the coding unit structure. The decoding apparatus uses information already present in the bitstream (image size and coding unit size) to perform the validation, rather than requiring external verification mechanisms, thus improving error detection without proportionally increasing complexity
Data Source
AI summary
An image decoding method according to an aspect of the present invention includes: extracting a size of an image from the bitstream; extracting a size of a smallest coding unit from the bitstream; judging whether or not the size of the image is an integral multiple of the size of the smallest coding unit; and decoding a coded image signal included in the bitstream, using the size of the image, when the size of the image is an integral multiple of the size of the smallest coding unit, to generate a first decoded image.