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Updated: May 24, 2026
06:25
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
Published on: February 12, 2014
Progressive significance map and its application to error-resilient image transmission.
Yang Hu1, William A Pearlman, Xin Li
1Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. yanghuyh@gmail.com
Summary
This study introduces a progressive significance map (prog-sig-map) to enhance Set Partition Coding (SPC) for error-resilient image transmission. The novel method improves data robustness in noisy channels with minimal impact on compression efficiency.
Area of Science:
- Digital Signal Processing
- Image Compression
- Error Resilience
Background:
- Set Partition Coding (SPC) is highly effective for image compression.
- A key limitation of SPC is its vulnerability to transmission errors in noisy environments.
- Existing error resilience techniques often involve trade-offs with compression efficiency or complexity.
Purpose of the Study:
- To propose a novel data representation, the progressive significance map (prog-sig-map), for error-resilient SPC.
- To enhance the error resilience of SPC without significant loss in compression performance.
- To investigate the effectiveness of prog-sig-map in error-prone transmission scenarios.
Main Methods:
- Introduced a structured significance map (sig-map) divided into a summation sig-map and a complementary sig-map (comp-sig-map).
- Implemented fixed-length coding for the comp-sig-map within the prog-sig-map structure.
- Evaluated performance using binary symmetric channels and compared rate-distortion performance against conventional methods.
Main Results:
- The prog-sig-map significantly improves error resilience, making 64% of the bitstream insensitive to errors compared to 40% with conventional sig-maps.
- Achieved highly competitive rate-distortion performance on binary symmetric channels.
- Demonstrated low computational complexity for the proposed method.
Conclusions:
- The progressive significance map (prog-sig-map) offers a viable solution for error-resilient Set Partition Coding (SPC).
- This approach enhances data robustness in error-prone environments with minimal compression efficiency sacrifice.
- Prog-sig-map is compatible with existing error-resilient techniques and applicable to other source coding domains like video coding.
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