Progressive Image Compression for High Spatial Quality
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Solution Overview
Problem
Current image transmission technologies face challenges in delivering high-quality, high-definition images over the internet without significant delays, as lossless compression methods are too slow and lossy methods compromise image quality, especially with increasing device resolutions and user expectations for faster and higher-quality image rendering, particularly during zooming and panning.
Innovation Solution
An image processing system that progressively compacts high-definition images into losslessly reconstructable components, using horizontal, vertical, and bidirectional compaction processes to reduce data while maintaining quality, and employs extra-data images to reconstruct the original image with improved fidelity, allowing for faster transmission and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If lossless compression methods are used to maintain image quality, then image fidelity is improved, but transmission speed deteriorates
Solution Approach 1:
The patent segments the image transmission process into multiple progressive stages, where the image is first transmitted in a compacted/decoded form and then progressively refined through multiple updates. This allows the system to deliver a viewable image quickly (improving transmission speed) while maintaining the ability to achieve lossless reconstruction quality over time (maintaining image fidelity).
Solution Approach 2:
The patent applies preliminary decoding/compaction to the image data before transmission, creating an intermediate representation that can be quickly displayed. This preliminary action enables fast initial transmission and display, while subsequent progressive refinement steps complete the lossless reconstruction, thus resolving the contradiction between speed and quality.
2Productivity
If lossy compression methods are used to increase transmission speed, then transmission speed is improved, but image quality deteriorates
Solution Approach 1:
The patent divides the compression and transmission process into segments: an initial fast decoding phase that provides a viewable image quickly, followed by progressive refinement phases that gradually improve quality. This segmentation allows the system to achieve high transmission speed in the initial phase while ensuring image quality is restored in subsequent phases.
Solution Approach 2:
The patent implements a dynamic transmission approach where the image quality and detail level adapt over time based on reception conditions. The system starts with a lower-quality compacted representation for speed, then dynamically adds detail and refines quality as data arrives, ultimately achieving lossless reconstruction. This dynamic approach resolves the contradiction by making quality a function of time rather than a fixed trade-off.
3Productivity
If progressive compaction is applied to reduce data size, then transmission efficiency is improved, but reconstruction complexity increases
Solution Approach 1:
The patent segments the reconstruction process into multiple progressive stages that correspond to the compaction levels. Each stage reconstructs the image at a specific resolution or detail level using only the data available up to that point. This segmentation simplifies the reconstruction complexity at each individual stage while maintaining overall transmission efficiency through progressive refinement.
Solution Approach 2:
The patent applies partial reconstruction at each progressive stage, where only the necessary portion of the full-resolution image is reconstructed using the currently available compaction data. This partial action approach reduces the computational complexity required at each stage compared to full reconstruction, while still providing progressively improving image quality and maintaining transmission efficiency.
Data Source
AI summary
A high-definition image is preprocessed to generate a substantially losslessly-reconstructable set of image components that include a relatively low-resolution base image and a plurality of extra-data images that provide for progressively substantially losslessly reconstructing the high-definition image from the base image, wherein a single primary-color component of the extra-data images provides for relatively quickly reconstructing full-resolution intermediate images during the substantially lossless-reconstruction process.