Hardware Implementation of Dual-Tree Wavelet Transform Based Image Reconstruction

Autor:	Sripathi Muralitharan, Lamia M. Kalam, S. P. Deepu, Hitesh Sudhakar, David S. Sumam
Rok vydání:	2020
Předmět:	Pixel Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Iterative reconstruction Grayscale Upsampling Wavelet Digital image processing Computer vision Artificial intelligence business
Zdroj:	ISCAS
DOI:	10.1109/iscas45731.2020.9181224
Popis:	Real-time implementations of image processing algorithms on embedded platforms are gaining importance. In this paper, we propose an Application Specific Integrated Circuit (ASIC) architecture for the perfect reconstruction of images using wavelets with a view to extending this to denoising and feature extraction of images. An architecture that implements the Dual-Tree Wavelet Transform is presented. The architecture features a 128×128 single-port block memory and its addressing schemes, a simple upsampling/downsampling method and a folding and adding mechanism. It is implemented using 180nm technology. The results show perfect reconstruction of 128×128 grayscale images with up to 1-bit error in pixel values when compared to the corresponding input images.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::69c1923fcd911b9618348de046c47ff3 https://doi.org/10.1109/iscas45731.2020.9181224 Zobrazit plný text záznamu