Video Encoding Block Size Adaptation for Noise Uniformity
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Solution Overview
Problem
In video image encoding, the variation in block sizes due to noise distribution can lead to inconsistent subjective quality of decoded images, as existing methods do not effectively adapt block sizes to noise patterns, resulting in broken noise uniformity and reduced encoding efficiency.
Innovation Solution
A video image encoding device that determines the noise distribution within a target image and limits block sizes to specific selectable sizes, ensuring encoding is performed using optimal block sizes tailored to the noise pattern, thereby maintaining uniform noise states and improving subjective image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple block sizes are used for video encoding, then encoding efficiency is improved, but noise uniformity deteriorates
Solution Approach 1:
The patent changes the block size parameter based on noise distribution characteristics. When uniform noise is detected, the system selects specific block sizes from available options (e.g., limiting to 64×64 or 32×32) to maintain noise uniformity while still allowing multiple size options for different noise conditions, thus resolving the contradiction between encoding efficiency and noise uniformity.
2Manufacturing precision
If block sizes are limited to maintain noise uniformity, then subjective quality is improved, but encoding efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts the available block size options based on the detected noise distribution. For uniform noise, it limits block sizes to maintain quality; for non-uniform noise, it allows multiple block sizes for better encoding efficiency. This dynamic adaptation resolves the contradiction by making the block size selection flexible rather than fixed.
Solution Approach 2:
The patent applies different block size limitations to different regions or conditions. By detecting noise distribution characteristics, it selectively limits block sizes only when uniform noise is present, while allowing full block size flexibility for other cases, thus maintaining quality where needed without sacrificing efficiency elsewhere.
3Measurement precision
If block sizes vary to adapt to image content, then encoding precision is improved, but noise distribution uniformity deteriorates
Solution Approach 1:
The system changes block size parameters conditionally based on noise distribution analysis. When uniform noise is detected, it restricts block size variation to maintain noise uniformity; when non-uniform noise is detected, it allows block size variation for better encoding precision. This conditional parameter adjustment resolves the contradiction between encoding precision and noise uniformity.
Data Source
AI summary
A video image encoding device includes a memory and a processor. The processor is configured to determine a noise distribution within a target image to be encoded and included in a video image. The processor may limit sizes of blocks to be used for video image encoding of the target image to one or more sizes among multiple selectable sizes when it is determined that the noise distribution within the target image to be encoded is a predetermined noise distribution. The processor may also encode the target image by executing the video image encoding using the blocks of the one or more sizes.