Compressed Domain Bit-Plane Removal for JPEG Efficiency
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Solution Overview
Problem
Current image compression techniques, such as JPEG, face challenges in achieving higher compression gains while maintaining simplicity and efficiency, especially on devices with limited computing power, as they require full decoding and re-encoding processes that are resource-intensive.
Innovation Solution
The 'least significant bit-plane removal' method is applied in the compressed domain, where the least significant bit-plane is removed by dividing pixel values by 2, bypassing the need for full decoding and re-encoding, thus reducing processing power and time requirements, and enhancing compression efficiency without significant visual quality loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full decoding and re-encoding is performed to achieve higher compression gains, then compression efficiency is improved, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent segments the image data into different bit-planes (most significant bit-plane and least significant bit-plane), allowing selective processing of only the least significant bit-plane for compression enhancement, rather than processing the entire image through full decoding and re-encoding. This segmentation enables local optimization without global processing overhead.
Solution Approach 2:
The patent extracts and removes the least significant bit-plane from the compressed image data to achieve additional compression gains. By taking out only the less important bit-plane information and selectively discarding or coarsening it, the system achieves compression enhancement without requiring full re-encoding of the entire image.
2Productivity
If full decoding and re-encoding is performed to achieve higher compression gains, then compression ratio is improved, but processing time increases significantly
Solution Approach 1:
The patent performs preliminary action by operating on the compressed bit-plane data directly in the compressed domain before final encoding. The least significant bit-plane is processed (coarsened or discarded) while the data is still in compressed form, avoiding the time-consuming full decoding step and enabling faster compression enhancement.
Solution Approach 2:
The patent applies partial action by processing only the least significant bit-plane rather than the entire image data. This partial processing approach achieves sufficient compression enhancement for many applications without the full computational burden of complete decoding and re-encoding, thereby reducing processing time.
3Productivity
If full decoding and re-encoding is performed to achieve higher compression gains, then compression efficiency is improved, but power consumption increases on mobile devices
Solution Approach 1:
The patent segments the processing task to operate only on the least significant bit-plane in the compressed domain, avoiding full decoding and re-encoding. This segmentation dramatically reduces computational workload and power consumption on mobile devices while still achieving meaningful compression efficiency improvements.
Solution Approach 2:
The patent changes the processing parameter from operating on full-resolution decoded images to operating on compressed bit-plane representations. This parameter change (working in the compressed domain with bit-planes instead of full images) reduces the data volume and computational requirements, thereby lowering power consumption on power-constrained mobile devices.
Data Source
AI summary
A system and method for compressed domain compression are provided for improving compression gains in an encoded image, such as a Joint Photographic Experts Group (JPEG)-encoded images, or encoded video, such as Motion Joint Photographic Experts Group (Motion JPEG)-encoded video, without fully decoding and re-encoding the compressed images or video.