Deblocking Filtering Parameter Signaling in Image Decoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to increased information size and transmission/storage costs, necessitating an efficient image compression technique for effective transmission and storage.
Innovation Solution
An image decoding and encoding method that includes obtaining indication information about deblocking parameters from picture or slice headers, generating reconstructed samples, and applying deblocking filtering to improve coding efficiency by signaling information at the picture or slice level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If deblocking parameters are signaled at every block level, then filtering precision is improved, but transmission cost increases
Solution Approach 1:
The patent merges deblocking parameter signaling from individual block level to picture header or slice header level. By combining the signaling scope across multiple blocks within a picture or slice, the same filtering parameters are applied to multiple blocks, reducing the total number of parameters that need to be transmitted while maintaining consistent filtering quality across regions.
Solution Approach 2:
The patent makes deblocking parameters universal at the picture or slice level, where a single set of parameters serves multiple blocks simultaneously. This multi-functional approach allows the same filtering parameters to be reused across many blocks, reducing transmission overhead while providing adequate filtering precision for multiple blocks sharing similar characteristics.
2Quantity of substance
If deblocking parameters are signaled at picture or slice level, then transmission cost is reduced, but filtering adaptability deteriorates
Solution Approach 1:
The patent segments the picture into multiple slices, and within each slice, deblocking parameters can be independently signaled. This segmentation allows different parameter sets to be applied to different slices, providing adaptability to regional variations in image content while still reducing transmission cost compared to block-level signaling. Each slice can have its own optimized filtering parameters.
Solution Approach 2:
The patent enables different deblocking parameters to be applied to different slices or regions within a picture, allowing local optimization of filtering quality. Regions with complex edges or high-frequency content can receive stronger filtering, while smooth regions receive lighter filtering, maintaining adaptability without requiring per-block parameter signaling.
3Manufacturing precision
If high-resolution images are transmitted without compression, then image quality is improved, but storage cost increases
Solution Approach 1:
The patent replaces lossless storage (mechanical preservation of all data) with lossy compression followed by deblocking filtering. Instead of storing every original pixel value, the system uses compressed block-based representation and applies deblocking filters to reconstruct visually acceptable images, significantly reducing storage cost while maintaining perceived image quality.
Solution Approach 2:
The patent converts the harmful block artifacts introduced by compression into a manageable problem that can be solved with deblocking filtering. The compression process creates visible blocking effects, but by systematically applying deblocking filters with optimized parameters, these artifacts are reduced or eliminated, turning the compression-induced harm into an opportunity for controlled filtering that improves overall efficiency.
Data Source
AI summary
An image decoding method according to the present disclosure presents indication information related to whether deblocking parameters for a deblocking filtering procedure exist in a picture header or a slice header.