High-Resolution Image Compression via Tile-Based Video Sequencing
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Solution Overview
Problem
Current image compression methods, such as JPEG, are limited in their compression ratio, requiring large storage sizes for high-quality and high-resolution images, especially in mobile devices, which demand efficient compression schemes that balance storage and quality.
Innovation Solution
The method involves dividing images into tiles and constructing them as a video sequence using spatial and temporal compression, allowing for scalable and intermittent compression by encoding differences between frames, utilizing existing video codecs and metadata for efficient decoding and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If JPEG compression is used for high-resolution images, then image quality is maintained, but storage size becomes unacceptably large
Solution Approach 1:
The image is divided into multiple tiles, and each tile is further divided into blocks. This segmentation allows independent processing and compression of different regions, enabling more efficient compression while maintaining overall image quality. The patent applies this by organizing image data into a video sequence of frames, where each frame contains multiple tiles with multiple blocks.
Solution Approach 2:
The patent transforms the traditional 2D image compression approach into a 3D video sequence structure by adding the temporal dimension. Images are encoded as a sequence of frames with multiple tiles per frame, creating a multi-dimensional data structure that enables more flexible compression strategies and better exploitation of spatial and temporal redundancies.
2Quantity of substance
If high compression ratio is applied to reduce storage size, then storage efficiency improves, but image quality deteriorates
Solution Approach 1:
Different regions of the image (different tiles and blocks) can be compressed with different quality levels. The patent allows selective compression where important regions maintain higher quality while less important regions use higher compression, optimizing the overall quality-size tradeoff.
Solution Approach 2:
The compression scheme is dynamic and scalable, allowing adjustment of compression parameters based on available bandwidth, storage capacity, or quality requirements. The video sequence structure enables flexible decoding where users can choose to decode only certain frames or tiles based on their needs.
3Device complexity
If conventional image compression is used in mobile devices, then device simplicity is maintained, but computational resources are insufficient for high-resolution compression
Solution Approach 1:
The patent leverages existing video compression codecs (which are commonly available in mobile devices) to perform image compression. By reusing the video coding infrastructure already present in mobile devices, the solution achieves efficient high-resolution image compression without requiring dedicated image compression hardware or algorithms.
Solution Approach 2:
The patent creates a video sequence that copies the structure of traditional video formats, allowing existing video decoders to be used for image decompression. This approach enables mobile devices to utilize their existing video processing capabilities for image compression and decompression tasks.
Data Source
AI summary
A method for compressing an image as a sequence of video frames, comprising dividing the image into a plurality of tiles and compressing a tile, or part thereof, as a frame in the video sequence.