[HTML][HTML] Optimisation and economic analysis of industrial-scale anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) using machine …

PB Yang, YJ Chan, SK Yazdi, JW Lim - Journal of Water Process …, 2024 - Elsevier
The anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) with decanter cake (DC),
has been proposed as a solution to enhance biogas production in industrial-scale anaerobic …

Stable successive Neural Image Compression via coherent demodulation-based transformation

Y Bao, W Tan, M Li, F Meng, Y Liang - Signal Processing, 2025 - Elsevier
Abstract Neural Image Compression (NIC) has made significant strides in recent years.
However, the existing NIC methods demonstrate instability issues during iterative re …

Edge-aware pre and post-processing for JPEG images using deep learning architectures

D Mishra, SK Singh, RK Singh, MS Sutaone - Digital Signal Processing, 2024 - Elsevier
We introduce a learning-based CNN architecture for both pre-and post-processing in
conjunction with the standard JPEG codec to enhance compression artifact removal. Our …

AsymLLIC: Asymmetric Lightweight Learned Image Compression

S Wang, Z Cheng, D Feng, G Lu, L Song… - arXiv preprint arXiv …, 2024 - arxiv.org
Learned image compression (LIC) methods often employ symmetrical encoder and decoder
architectures, evitably increasing decoding time. However, practical scenarios demand an …

CIC: Circular Image Compression

H Li, S Chen, NML Hossain, M Trocan… - arXiv preprint arXiv …, 2024 - arxiv.org
Learned image compression (LIC) is currently the cutting-edge method. However, the
inherent difference between testing and training images of LIC results in performance …

Leveraging Redundancy in Feature for Efficient Learned Image Compression

P Qin, Y Bao, F Meng, W Tan, C Li… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
In recent years, with the development of the field of learned image compression, numerous
models with excellent rate-distortion performance have emerged. However, the …