Convolutional Neural Networks continuously advance the progress of 2D and 3D image and
object classification. The steadfast usage of this algorithm requires constant evaluation and …

The computational and memory resources of wireless sensor nodes are typically very
limited, as the employed low-energy microcontrollers provide only hardware support for 16 …

With the advent of visual sensor networks (VSNs), energy‐aware compression algorithms
have gained wide attention. That is, new strategies and mechanisms for power‐efficient …

Monitoring pest insect populations is currently a key issue in agriculture and forestry
protection. At the farm level, human operators typically must perform periodical surveys of …

The set partitioned embedded block (SPECK) algorithm is an efficient block-based image
coder to encode wavelet transformed images. SPECK uses linked lists to track …

Existing image wavelet transform techniques exceed the computational and memory
resources of low-complexity wireless sensor nodes. In order to enable multimedia wireless …

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 …

After the successful development of JPEG2000, many state-of-the-art wavelet-based image
coding algorithms have been developed. However, the traditional discrete wavelet transform …

In the present study, a novel low memory coding algorithm for lossless image compression
of hyperspectral images is proposed. The hyperspectral images are volumetric images that …

When working with the line-based wavelet transform, JPEG2000 needs to buffer many sub-
band lines for future block coding. This coding buffer occupies the majority of the memory …