@inproceedings{9da9cfe251f64c52ac0c88878c778705,
title = "CPE COIN++: Towards Optimized Implicit Neural Representation Compression Via Chebyshev Positional Encoding",
abstract = "COIN++ is a special variant of Implicit Neural Representation (INR), which encodes signals as modulations applied to the base INR network. It is becoming a promising method for applications in image compression. However, INR{\textquoteright}s effectiveness is hindered by its inability to capture high-frequency details in the image representation. We propose a novel COIN++ framework using Chebyshev approximation to enhance high-frequency signal learning and image compression. In addition, we design an adaptable image partitioning technology and an integrated quantization method to further the image compression performance of COIN++ in the framework. Experiments demonstrate our framework significantly enhances both representational capacity and compression rate compared to the COIN++ baseline, with notable PSNR improvements.",
keywords = "Chebyshev approximation, COIN++, Implicit Neural Representation",
author = "Haocheng Chu and Shaohui Dai and Wenqi Ding and Xin Shi and Tianshuo Xu and Pingyang Dai and Shengchuan Zhang and Yan Zhang and Xiang Chang and Lin, \{Chih Min\} and Fei Chao and Changjiang Shang and Qiang Shen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2025",
doi = "10.1007/978-981-97-8692-3\_36",
language = "English",
isbn = "978-981-97-8691-6",
volume = "15039",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "509--524",
editor = "Zhouchen Lin and Hongbin Zha and Ming-Ming Cheng and Ran He and Cheng-Lin Liu and Kurban Ubul and Wushouer Silamu and Jie Zhou",
booktitle = "Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Proceedings",
address = "Switzerland",
}