Classification-Based Image Filtering for Low-Distortion Coding
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Solution Overview
Problem
The increasing resolution and quality of image data lead to higher transmission and storage costs due to larger data amounts, necessitating high-efficiency image encoding/decoding technologies.
Innovation Solution
Implementing filtering methods using artificial neural networks and matrix-based classification to reduce distortion in image encoding/decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data is transmitted or stored, then image quality is improved, but transmission costs and storage costs are increased
Solution Approach 1:
The patent extracts and removes redundant information from image data through encoding processes, transforming the original high-resolution image into a compressed representation that retains essential visual quality while eliminating unnecessary data components
Solution Approach 2:
The patent transforms image data by changing its representation parameters through various encoding techniques, converting spatial domain data into frequency domain or other optimized representations that reduce data volume while preserving perceptual quality
2Manufacturing precision
If filtering is applied to reduce distortion, then image quality is improved, but processing complexity is increased
Solution Approach 1:
The patent applies filtering operations during the encoding process itself rather than as a separate post-processing step, integrating distortion reduction into the core compression workflow to avoid additional processing stages
Solution Approach 2:
The patent combines multiple functions including filtering, compression, and quality optimization into a unified encoding framework, where filtering operations are integrated with the compression algorithm rather than applied separately
Data Source
AI summary
Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using filtering. The image encoding method and the image decoding method perform classification on a classification unit of a target image, and perform filtering that uses a filter on the classification unit. A classification index of the classification unit is determined, and the classification index indicates a filter to be used for filtering on the classification unit, among multiple filters. The classification index is determined by various coding parameters, such as an encoding mode of the target block and an encoding mode of a neighboring block adjacent to the target block.