Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:B3L-B
Session:
Number:B3L-B-01
Implementation of Max-Plus Algebra-Based Morphological Wavelet Transform Algorithm with CAM-Based Massive-Parallel SIMD Matrix Core
Kyosuke Kageyama , Takeshi Ogura , Tomohiro Fujita , Takeshi Kumaki,
pp.305-308
Publication Date:12/12/2022
Online ISSN:2188-5079
Summary:
Recently, the mobile devices is required to have digital convergence. In this paper, a CAM-based massive-parallel SIMD matrix core (CAMX) is proposed as mobile device accelerator for high-performance, programmability, and versatility. Besides, recently, the watermarking technology used a Max-plus algebra-based Morphological wavelet Transform (MMT) is known as the secureness technique in the mobile devices. In this paper, as a preparation before the watermarking technology is embedded, CAMX simulates the MMT processing. From this result, the CAMX can process 128 × 128 pixels image in parallel: decomposition is 3,637 clock cycles and reconstruction is 3,297 clock cycles.