In this paper, we have proposed a design strategy for the derivation of memory-efficient
architecture for multilevel 2-D DWT. Using the proposed design scheme, we have derived a …

Memory requirements (for storing intermediate signals) and critical path are essential issues
for 2-D (or multidimensional) transforms. This paper presents new algorithms and hardware …

Memristor-based hardware accelerators are gaining an increased attention as a potential
candidate to speed-up the vector-matrix operations commonly needed in many digital image …

We have suggested a new data-access scheme for the computation of lifting two-
dimensional (2-D) discrete wavelet transform (DWT) without using data transposition. We …

This paper proposes a novel algorithm to compute the 2-D discrete wavelet transform (DWT)
of high-resolution (HR) images on low-cost visual sensor and Internet of Things (IoT) nodes …

In this paper, we present a novel memory-efficient high-throughput scalable architecture for
multi-level 2-D DWT. We studied the existing DWT architectures and observed that data …

In this brief, we propose a new parallel lifting-based 2-D DWT architecture with high memory
efficiency and short critical path. The memory efficiency is achieved with a novel scanning …

In this paper, three hardware efficient architectures to perform multi-level 2-D discrete
wavelet transform (DWT) using lifting (5, 3) and (9, 7) filters are presented. They are …

In this article, a novel approximate hybrid multiplier design is proposed to reduce the data-
path width of lifting 2-D discrete wavelet transform (DWT) especially for wireless visual …

This article proposes a fractional wavelet filter (FrWF)-based 2-D discrete wavelet transform
(DWT) architecture for the 9/7 Cohen–Daubechies–Feauveau (CDF) filter employed at the …