Error Control for Content-Adaptive Block Compressive Sensing with Polar Codes and Unequal Protection Concepts

Block compressive sensing (BCS) is one of the new compression techniques in recent years. In addition to looking for compression performances, protection of BCS plays another key role for robust data transmission. In our scenario, original image can be classified into smooth and active blocks, and then different measurement rates in BCS can be applied. BCS compressed data would be presented with the binary format to form bitstreams for transmitting over binary channels. Considering the concept of unequal error protection, different level of protection can be accomplished with the polar codes. Compressed bistreams protected with polar codes can be transmitted over the binary symmetric channel (BSC), and errors may be induced during transmission. After reception, polar decoding and BCS reconstruction can be utilized subsequently to obtain reconstructed image. Simulations have shown the advantages of using the inherent characteristics of original image and the concept of unequal error protection over conventional settings.

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Published
2025-09-23
DOI
https://doi.org/10.1109/gcce65946.2025.11274932
Primary Topic
Sparse and Compressive Sensing Techniques
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article
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article

Error Control for Content-Adaptive Block Compressive Sensing with Polar Codes and Unequal Protection Concepts

Po‐Liang Chen, Hsiang-Cheh Huang, Feng-Cheng Chang
Sparse and Compressive Sensing Techniques
article

Error Control for Content-Adaptive Block Compressive Sensing with Polar Codes and Unequal Protection Concepts

Po‐Liang Chen, Hsiang-Cheh Huang, Feng-Cheng Chang
article en

Abstract

Block compressive sensing (BCS) is one of the new compression techniques in recent years. In addition to looking for compression performances, protection of BCS plays another key role for robust data transmission. In our scenario, original image can be classified into smooth and active blocks, and then different measurement rates in BCS can be applied. BCS compressed data would be presented with the binary format to form bitstreams for transmitting over binary channels. Considering the concept of unequal error protection, different level of protection can be accomplished with the polar codes. Compressed bistreams protected with polar codes can be transmitted over the binary symmetric channel (BSC), and errors may be induced during transmission. After reception, polar decoding and BCS reconstruction can be utilized subsequently to obtain reconstructed image. Simulations have shown the advantages of using the inherent characteristics of original image and the concept of unequal error protection over conventional settings.

Tamkang University (TW), National University of Kaohsiung (TW), National Kaohsiung University of Applied Sciences (TW)
Openalex Percentile: Top 59%
Sparse and Compressive Sensing Techniques
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