Block-modulating video compression: an ultralow complexity image compression encoder for resource-limited platforms
Siming Zheng, Yujia Xue, Waleed Tahir, Zhengjue Wang, Hao Zhang, Ziyi Meng, Gang Qu, Siwei Ma, Lei Tian, Xin Yuan · Advanced imaging. · 2024
Considering the image (video) compression on resource-limited platforms, we propose an ultralowcost image encoder, named block-modulating video compression (BMVC) with an extremely low-cost encoder to be implemented on mobile platforms with low consumption of power and computation resources.Accordingly, we also develop two types of BMVC decoders, implemented by deep neural networks.The first BMVC decoder is based on the plug-and-play algorithm, which is flexible with different compression ratios.The second decoder is a memory-efficient end-to-end convolutional neural network, which aims for real-time decoding.Extensive results on the high-definition images and videos demonstrate the superior performance of the proposed codec and the robustness against bit quantization.