Learning-driven lossy image compression: A comprehensive survey
In the field of image processing and computer vision (CV), machine learning (ML)
architectures are widely used. Image compression problems can be solved using …
architectures are widely used. Image compression problems can be solved using …
Comprehensive review of hyperspectral image compression algorithms
Rapid advancement in the development of hyperspectral image analysis techniques has led
to specialized hyperspectral missions. It results in the bulk transmission of hyperspectral …
to specialized hyperspectral missions. It results in the bulk transmission of hyperspectral …
Intelligent machine vision model for defective product inspection based on machine learning
Quality control is one of the industrial tasks most susceptible to be improved by
implementing technological innovations. As an innovative technology, machine vision …
implementing technological innovations. As an innovative technology, machine vision …
Towards integrating image encryption with compression: A survey
As digital images are consistently generated and transmitted online, the unauthorized
utilization of these images is an increasing concern that has a significant impact on both …
utilization of these images is an increasing concern that has a significant impact on both …
Unified multivariate gaussian mixture for efficient neural image compression
Modeling latent variables with priors and hyperpriors is an essential problem in variational
image compression. Formally, trade-off between rate and distortion is handled well if priors …
image compression. Formally, trade-off between rate and distortion is handled well if priors …
[HTML][HTML] 3D printing applications in smart farming and food processing
Additive manufacturing, also known as 3D printing, is an amazing innovation with a wide
range of uses in intelligent agriculture and food processing. Along with adjustable farming …
range of uses in intelligent agriculture and food processing. Along with adjustable farming …
Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
Lossless image compression techniques: A state-of-the-art survey
Modern daily life activities result in a huge amount of data, which creates a big challenge for
storing and communicating them. As an example, hospitals produce a huge amount of data …
storing and communicating them. As an example, hospitals produce a huge amount of data …
An improved lossless image compression algorithm based on Huffman coding
There is an increasing number of image data produced in our life nowadays, which creates
a big challenge to store and transmit them. For some fields requiring high fidelity, the …
a big challenge to store and transmit them. For some fields requiring high fidelity, the …
Quantifying hidden order out of equilibrium
While the equilibrium properties, states, and phase transitions of interacting systems are well
described by statistical mechanics, the lack of suitable state parameters has hindered the …
described by statistical mechanics, the lack of suitable state parameters has hindered the …