Hybrid image compression algorithm based on wavelet transform and number theoretic transformation

The wavelet transform (WT) is a widely used technique for compressing images in the Internet of Things (IoT). However, its compression ratio (CR) needs further improvement when used for IoTs with low communication rates. To address this issue, we propose a lightweight image compression method that combines the WT and number theory transform (NTT). The simulations demonstrate that the proposed method surpasses traditional compression methods in terms of achieving a good balance between CR, image recovery quality, and complexity. Therefore, it is better suited for IoT applications with low transmission rate requirements. In this paper, we propose a lightweight image compression method (HICA-WT-NTT), which is based on NTT and WT to improve the compression ratio (CR), so as to reduce the transmission rate requirement for IoT devices. Simulation tests images with different qualities and CRs, and results show that the proposed method usually produces better CR as well as runtime performance than other tested methods, while all tested methods maintain almost the same recovered image quality or the same CR. Thus, the proposed method has adaptability to various IoT application scenarios. image