Video Decoding With Size-Aware Reference Sampling
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Solution Overview
Problem
Existing image encoding and decoding technologies do not adequately consider the size differences between current and reference images, leading to suboptimal reconstruction quality.
Innovation Solution
The proposed method involves comparing the size of a current image with a reference image and adjusting the selection and filtering of reference samples based on the size comparison, using n-tap filters with coefficients determined by the size ratio, and configuring reference image lists to include images of equal or greater size than the current image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If reference samples are selected from a reference image without considering size differences, then the decoding process is simple, but the reconstruction quality deteriorates when image sizes differ significantly
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the sampling interval of reference samples based on the size ratio between current and reference images. When the reference image is larger, a larger interval is used to skip more samples; when sizes are equal, consecutive samples are used. This adaptive parameter adjustment resolves the contradiction by improving reconstruction quality through size-aware sampling while keeping the decoding process manageable through systematic interval-based selection.
2Manufacturing precision
If an n-tap filter is always applied to reference samples, then reconstruction quality is improved, but processing time increases
Solution Approach 1:
The patent implements dynamics by making the filtering operation conditional rather than fixed. The n-tap filter is applied only when the current image size is smaller than the reference image size, creating a dynamic processing approach. When sizes are equal, filtering is skipped to save time. This resolves the contradiction by adapting the processing intensity to the actual needs of each decoding operation.
Solution Approach 2:
The patent changes the parameter of filter application based on image size relationships. By conditionally applying the n-tap filter only when necessary (when current image is smaller), the system optimizes between reconstruction quality and processing time. This parameter-based conditional approach allows quality improvement where needed while avoiding unnecessary computational overhead.
3Adaptability or versatility
If reference samples are selected with larger interval due to size difference, then adaptation to size discrepancy is improved, but the number of reference samples decreases
Solution Approach 1:
The patent applies parameter changes by adjusting the sampling interval parameter based on image size ratios. When the reference image is significantly larger, the interval increases to appropriately space reference samples, preventing misuse of overly dense samples from a much larger image. This resolves the contradiction by adapting the sampling strategy to the actual size relationship, ensuring reference samples are both sufficient and appropriately spaced.
Data Source
AI summary
An image decoding method includes: comparing a size of a current image including a current block with a size of a reference image; selecting, in the reference image, reference samples corresponding to current samples in the current block according to a motion vector of the current block; and reconstructing the current block based on the reference samples, wherein, when the size of the reference image is greater than the size of the current image, the reference samples are spaced apart from one another in the reference image by an interval corresponding to a result of the size comparison.