Wavelet Pre-Processing for Video Compression Quality
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Solution Overview
Problem
Current video compression techniques are inadequate in minimizing data storage and transmission requirements across various video codecs, leading to increased costs and inefficient data handling.
Innovation Solution
The development of wavelet transformation methods for pre-processing and post-processing video frames, which reduce data size by retaining low-frequency components and discarding high-frequency components, allowing for efficient compression and decompression without significant loss of visual quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video compression techniques are applied to reduce data size, then storage and transmission requirements are reduced, but visual quality deteriorates
Solution Approach 1:
The video signal is segmented into different frequency components using wavelet transformation, separating the image into approximation coefficients (low-frequency) and detail coefficients (high-frequency). This segmentation allows selective processing where only essential low-frequency components are retained for compression, while high-frequency components are discarded or coarsely quantized, achieving both size reduction and quality preservation
Solution Approach 2:
The invention extracts and retains only the essential low-frequency approximation coefficients from the wavelet decomposition, discarding the less important high-frequency detail coefficients. This extraction principle enables significant data reduction by removing redundant information while preserving the core visual structure and perceived quality of the video
2Quantity of substance
If compression ratio is increased to reduce storage costs, then transmission requirements are reduced, but data loss increases
Solution Approach 1:
The wavelet transformation applies different processing strategies to different frequency subbands based on their importance. Low-frequency approximation coefficients are preserved with high fidelity, while high-frequency detail coefficients undergo aggressive compression or are discarded. This local quality differentiation allows achieving high compression ratios while maintaining perceptual quality in the most important frequency regions
Solution Approach 2:
The invention changes the representation parameters of video data by transforming from spatial domain to frequency domain using wavelet coefficients. This parameter transformation enables more efficient compression by allowing selective retention of coefficients based on their frequency importance, achieving better compression ratios with less information loss compared to traditional spatial-domain compression
3Productivity
If wavelet transformation is applied to pre-process video frames, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The wavelet transformation is applied as a preliminary pre-processing step before standard video compression. By performing the frequency decomposition and coefficient selection in advance, the subsequent compression stages work on already-optimized data with fewer redundant components, improving overall compression efficiency without requiring complete re-invention of the compression pipeline
Solution Approach 2:
The wavelet-based pre-processing framework is designed to be codec-agnostic and can be applied universally across different video compression standards. The same wavelet transformation and coefficient retention principles work effectively with various codecs, making the solution broadly applicable without requiring complex, codec-specific implementations
Data Source
AI summary
Embodiments of this invention include computer-implemented mathematical methods to develop software and/or hardware implementations that use wavelet transforms (WT) to pre-process video frames that can then be compressed using a variety of codecs to produce compressed video frames. Such compressed video frames can then be transmitted, decompressed, post-processed using the post-processing methods disclosed in the invention and displayed in their original size and quality using software and/or hardware implementations of embodiments of the invention, thereby producing real-time high-quality reproduction of video sequences. Embodiments of devices that can implement the methods of this invention include mainframe computers, desktop computers, personal computers, laptop computers, tablet computers, wireless computers, television sets, set top boxes, cellular telephones, and computer readable media.