Bayer Image Compression via Segmented Random-Access and Error-Resilient Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image processing and communication techniques face challenges in achieving bandwidth efficiency and error resilience during the transmission of image data, particularly in wireless transmission, where existing methods do not effectively isolate and protect visually significant components.
Innovation Solution
The method involves dividing an image into blocks and generating two streams of data: a Random-Access (RA) stream with accessible compressed descriptions and a High-Resilience (HR) stream with enhanced error resilience, where the RA stream allows random access to compressed descriptions and the HR stream prioritizes error protection, using techniques such as Bayer matrix patterns, error correction codes, and constant-envelope modulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If image data is transmitted using conventional compression techniques, then bandwidth efficiency is improved, but error resilience deteriorates
Solution Approach 1:
The patent divides the compressed image data into multiple independent blocks, each with its own compressed description. This segmentation allows the system to transmit and protect critical block information separately from less critical information, thereby maintaining bandwidth efficiency while improving error resilience through selective protection of important data segments.
Solution Approach 2:
The patent applies different error protection mechanisms to different blocks of image data based on their visual importance. Visually significant components receive enhanced error protection, while less critical components use standard protection. This local differentiation allows the system to optimize the balance between bandwidth efficiency and error resilience for each region.
2Reliability
If error protection is applied to all image data uniformly, then reliability is improved, but bandwidth efficiency deteriorates
Solution Approach 1:
The patent implements differential error protection where visually significant image blocks receive enhanced error protection mechanisms while less critical blocks use standard protection. This local quality differentiation ensures that error resilience is concentrated on the most important data, avoiding the bandwidth overhead of uniform protection across all data.
Solution Approach 2:
The patent applies error protection selectively only to the extent necessary for maintaining image quality. By providing enhanced protection only to critical blocks rather than all blocks uniformly, the system achieves sufficient reliability for important components while avoiding excessive protection overhead for less critical data.
3Ease of operation
If compressed descriptions are made accessible through random access, then ease of operation is improved, but error resilience deteriorates
Solution Approach 1:
The patent segments the compressed image data into independent blocks with clear delimiters and addressing information. This segmentation enables random access to specific blocks while maintaining error resilience through the structured organization that allows error correction mechanisms to operate effectively on individual segments without compromising access capability.
Solution Approach 2:
The patent introduces addressing information and delimiters as intermediary elements between the compressed descriptions and the error protection mechanisms. These intermediaries enable random access by providing location identification while simultaneously supporting error resilience by allowing targeted error correction on specific blocks without affecting the overall data structure.
Data Source
AI summary
A method includes, in an encoder, dividing an image into blocks, and producing respective compressed descriptions of the blocks. First data, which contains at least some of the compressed descriptions, is generated such that a compressed description of each block within the first data is accessible irrespective of the compressed descriptions of the other blocks. Second data, which contains at least a portion of the compressed descriptions or of the blocks and has a better error resilience than the first data, is also generated. The first and second data are stored in a memory. At a decoder, the first and second data are read from the memory, and the image is reconstructed from the read first and second data.