Design and FPGA implementation of information secured 3D HAAR wavelet and embedded zero tree encoding for image compression
S. Lekashri, Ramesh Babu Durai. C, V. Ravichandran, Duraivel. A.N · Information Security Journal A Global Perspective · 2025
Real time Processing of medical imaging data such as that from MRI (Magnetic Resonance Imaging), CT (Computed Tomography), and PET scans, is dependent on the algorithm’s high memory requirements and speed of operation. To avoid the storage requirement, a number of 3D picture compression algorithms were implemented. The discrete wavelet transform has important uses in medical image processing. Among all wavelet transformations, the HAAR Wavelet Transform (HWT) is regarded as the easiest to use, fastest, and least memory-intensive. Using Digital signal processors and microprocessors is not more efficient since medical imaging is an application that requires high resolution and high bandwidth due to these larger needs. They also result in slowness because medical data storage takes up a lot of memory. Using (Field-Programmable Gate Arrays) FPGA technology, the latency issue is handled by eliminating the memory requirements. Reconfigurable FPGA in particular provides a useful method for various applications. Processing speed can be further increased by employing the Embedded Zero Tree (EZT) encoding approach. The proposed system combines the 3D HAAR wavelet transforms with the EZT coding scheme and shuffled XOR to generate a secured lossless low memory compression solution using an asynchronous FPGA architecture.