Anisotropic-diffusion is a commonly used signal preprocessing technique that allows extracting meaningful local characteristics from a signal, such as edges in an image and can be used to support higher-level processing tasks, such as shape detection. This paper presents a fully scalable CMOS-RRAM architecture of an edge-aware-anisotropic filtering algorithm aimed at computer vision applications. The CMOS circuitry controls the scale-space image data to perform pseudo-parallel in-memory computing and nonlinear processing through RRAM crossbar. The arithmetic operations for in-memory computation of brightness gradients are efficiently accumulated to produce the enhanced image in several iterations. The proposed architecture uses single RRAM as a computing and storage element to perform both arithmetic operations and accumulations. Thanks to the in-memory computation, memory accesses and arithmetic operations are reduced by 64% and 92%, respectively, compared to traditional digital implementations. This, in turn, results in a potential reduction of power and area costs of about 75% and 85%, respectively. The processing time is also reduced by 67%.
RRAM Crossbar-based In-Memory Computation of Anisotropic Filters for Image Preprocessing / F. Zayer, B. Mohammad, H. Saleh, G. Gianini. - In: IEEE ACCESS. - ISSN 2169-3536. - 8(2020 Jun 22), pp. 127569-127580.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
|Titolo:||RRAM Crossbar-based In-Memory Computation of Anisotropic Filters for Image Preprocessing|
GIANINI, GABRIELE (Ultimo)
|Parole Chiave:||Scale-space image; RRAM crossbar; in-memory computing; image enhancement; anisotropic diffusion|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
|Data di pubblicazione:||22-giu-2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/ACCESS.2020.3004184|
|Appare nelle tipologie:||01 - Articolo su periodico|