Image Encoding Using Texture Database Identification
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Solution Overview
Problem
Current encoding methods degrade picture quality due to insufficient transmission of texture components, leading to poor restoration of high-frequency components and inefficient transmission, especially when reducing textures for encoding.
Innovation Solution
An encoding apparatus and method that utilize a non-reversible encoding process, registering multiple texture components in a database, and transmitting identification information to match and synthesize texture components at the decoding end, improving both picture quality and transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of texture components transmitted from the encoding apparatus to the decoding apparatus is increased, then the picture quality of the restoration image can be improved, but the transmission efficiency degrades
Solution Approach 1:
The patent uses identification information to reference texture components stored in a database rather than transmitting the actual texture data. The decoding apparatus retrieves the referenced texture components from its local database, creating a copy of the needed data without increasing transmission bandwidth. This resolves the contradiction by maintaining picture quality through complete texture transmission while preserving transmission efficiency through reference-based encoding.
2Productivity
If the number of texture components transmitted is small, then the transmission efficiency is maintained, but the texture of the input image cannot be restored sufficiently and picture quality degrades
Solution Approach 1:
The patent introduces identification information as an intermediary between the encoding and decoding processes. Instead of directly transmitting texture components or their full representations, the system transmits compact identification data that mediates the retrieval of complete texture components from the database. This intermediary mechanism enables efficient transmission while ensuring complete texture restoration for high picture quality.
3Productivity
If a reduced texture is enlarged by a super-resolution technology, then transmission efficiency is improved, but it is difficult to restore high frequency components of a texture lost upon reduction and the expressiveness of the texture degrades
Solution Approach 1:
The patent applies preliminary action by storing complete, high-resolution texture components in the database before the encoding process. Instead of reducing textures and attempting later restoration, the system prepares the full-quality texture data in advance, allowing the decoding apparatus to retrieve and use the complete high-frequency information without loss. This eliminates the need for super-resolution techniques while maintaining both transmission efficiency and texture expressiveness.
Data Source
AI summary
The encoding apparatus encodes an input image by a non-reversible encoding method and transmits identification information for identifying match components that are, from among a plurality of texture components registered in a database, texture components that match with the input image and encoded data obtained by encoding the input image. The decoding apparatus receives the encoded data and the identification information, decodes the encoded data into a decoded image, and synthesizes the texture component as the match component identified by the identification information from among a plurality of texture components registered in a database and the decoded image. The present technology can be applied, for example, a codec or the like by which an image is encoded and decoded.