Wavelet-Based Intra Coding for Scalable HEVC Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image and video coding technologies face challenges in achieving efficient compression and scalability, particularly in encoding Intra frames, which limits the ability to store or transmit high-quality images and videos efficiently while supporting flexible resolution decoding.
Innovation Solution
The implementation of wavelet-based coding techniques, combined with High Efficiency Video Coding (HEVC) standards, allows for efficient and scalable Intra video/image coding by decomposing signals into subbands and using adaptive wavelet filtering, enabling flexible scalability and higher compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image and video coding technologies are used, then basic compression is achieved, but compression efficiency is insufficient and scalability is limited
Solution Approach 1:
The patent applies wavelet transform to divide the image or video frame into multiple subbands (LL, LH, HL, HH) at different resolutions. This segmentation allows independent encoding of each subband, enabling scalable bitstream generation where subsets of subbands can be decoded at different quality levels while maintaining high compression efficiency through structured division of the signal.
Solution Approach 2:
The patent introduces a resolution dimension by decomposing the signal into multiple scale levels using wavelet transform. This creates a multi-resolution representation where the same bitstream can support decoding at different resolutions (e.g., 1/4 resolution from LL subband alone, or full resolution using all subbands), thereby achieving scalability without sacrificing compression efficiency.
2Productivity
If higher quality images and videos are stored or transmitted, then compression efficiency increases, but the complexity of the coding system increases
Solution Approach 1:
The patent uses HEVC-compliant encoding for all subbands, making the coding system universal. The same encoder architecture can handle different subband resolutions and types (LL, LH, HL, HH) using standardized HEVC tools, which simplifies the implementation complexity despite achieving high compression efficiency and scalability.
Solution Approach 2:
The patent manages complexity by changing parameters such as quantization precision and bit depth per subband rather than using complex algorithms throughout. By adjusting these parameters adaptively across different subbands, the system achieves high compression efficiency while keeping the overall coding architecture relatively simple and manageable.
3Adaptability or versatility
If scalable coding is implemented to support multiple resolutions, then adaptability improves, but compression efficiency may be compromised
Solution Approach 1:
The wavelet-based segmentation into subbands enables scalable coding by allowing selective decoding of different subband sets. The LL subband provides low-resolution base layer, while LH, HL, and HH subbands add detail information for higher resolutions. This segmentation maintains compression efficiency because each subband is encoded independently using optimized HEVC parameters tailored to its specific resolution and content characteristics.
Data Source
AI summary
Techniques related to intra video frame or image coding using wavelets and High Efficiency Video Coding (HEVC) are discussed. Such techniques may include wavelet decomposition of a frame or image to generate subbands and coding the subbands using compliant and/or modified HEVC coding techniques.