Automated classification of remote sensing images is one of the complex issues in robotics
and machine learning fields. Many models have been proposed for remote sensing image …

In this paper, we review recent developments in VLSI architectures and algorithms for
efficient implementation of lifting based Discrete Wavelet Transform (DWT). The basic …

Multidimensional sensors, such as digital camera sensors in the visual sensor networks
VSNs generate a huge amount of information compared with the scalar sensors in the …

An architecture for the lifting-based two-dimensional discrete wavelet transform is presented.
The architecture is easily scaled to accommodate different numbers of lifting steps. The …

A low-power, high-speed architecture which performs two-dimension forward and inverse
discrete wavelet transform (DWT) for the set of filters in JPEG2000 is proposed by using a …

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, a new algorithm to efficiently compute the two-dimensional wavelet transform
is presented. This algorithm aims at low memory consumption and reduced complexity …

This paper presents a flexible hardware architecture for performing the Discrete Wavelet
Transform (DWT) on a digital image. The proposed architecture uses a variation of the lifting …

This paper proposes a simple low memory architecture for computing discrete wavelet
transform (DWT) of high-resolution (HR) images on low-cost memory-constrained sensor …

When compared to the traditional row-column wavelet transform, the line-based wavelet
transform can achieve significant memory savings. However, the design of an image codec …