Image Quality Preservation in 3D-to-2D Transform Coding
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Solution Overview
Problem
Existing image providing systems suffer from image quality deterioration when transmitting image data from a server to a client terminal device, as they perform image processing that does not maintain equivalent image quality on both sides.
Innovation Solution
An information processing apparatus that includes a 2D orthogonal transform coding data acquisition unit, a 2D orthogonal transform coefficient data generation unit, and a 3D transformation unit, which acquires, generates, and encodes orthogonal transform coefficient data to reduce image quality deterioration by transforming and rearranging data in a predetermined order, using quantization parameters for encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image processing is performed on image data before providing it to the client terminal device, then the image data can be transmitted efficiently, but the image quality deteriorates
Solution Approach 1:
The patent segments the image data into multiple blocks and processes them independently. The server performs orthogonal transform coding on each block, allowing efficient transmission while preserving quality through selective processing and reconstruction at the client side.
Solution Approach 2:
The patent utilizes quantization parameters to control the compression level. By adjusting the quantization parameter, the system can change the balance between transmission efficiency and image quality, allowing the client to reconstruct images with desired quality levels.
2Productivity
If 2D orthogonal transform coding data is acquired and processed sequentially, then the processing can be performed efficiently, but the image quality deteriorates due to repeated transformation
Solution Approach 1:
The server performs the orthogonal transform coding in advance during image acquisition and storage. This preliminary processing allows the client to simply retrieve and reconstruct the data without performing complex transformations, thereby maintaining efficiency while preserving quality.
Solution Approach 2:
The patent introduces 2D orthogonal transform coding data as an intermediary representation. This intermediate form allows efficient storage and transmission while the client can reconstruct the original image quality through inverse transformation, avoiding the need for repeated processing.
3Adaptability or versatility
If image data is provided from server to client terminal device, then the system can function remotely, but the image quality deteriorates during transmission
Solution Approach 1:
The patent transitions from 3D image data to 2D orthogonal transform coding data for transmission, and back to 3D reconstructed data at the client. This dimensional transformation allows efficient remote transmission while preserving the original image quality through proper reconstruction algorithms.
Data Source
AI summary
An information processing apparatus includes a two-dimensional orthogonal transform coding data acquisition unit for sequentially acquiring two-dimensional orthogonal transform coding data acquired by transforming three-dimensional orthogonal transform coding data generated from a plurality of images, a two-dimensional orthogonal transform coefficient data generation unit for generating a plurality of pieces of two-dimensional orthogonal transform coefficient data using the plurality of pieces of acquired two-dimensional orthogonal transform coding data, and a three-dimensional transformation unit for encoding three-dimensional orthogonal transform coefficient data acquired by transforming the plurality of pieces of generated two-dimensional orthogonal transform coefficient data.