Low complexity image coding technique for hyperspectral image sensors
S Bajpai - Multimedia Tools and Applications, 2023 - Springer
Memory management and coding complexity are the major challenging issues of any
hyperspectral image sensor. The hyperspectral image compression algorithm plays a …
hyperspectral image sensor. The hyperspectral image compression algorithm plays a …
Low complexity and low memory compression algorithm for hyperspectral image sensors
S Bajpai - Wireless Personal Communications, 2023 - Springer
The 3D-zero memory set partitioned embedded block (3D-ZM-SPECK) is an embedded and
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …
Low complexity block tree coding for hyperspectral image sensors
S Bajpai - Multimedia Tools and Applications, 2022 - Springer
Complexity of any onboard hyperspectral image sensor is a challenging issue. The existing
hyperspectral image compression algorithm plays a great role in reducing the data …
hyperspectral image compression algorithm plays a great role in reducing the data …
Curvelet transform based compression algorithm for low resource hyperspectral image sensors
The wavelet transform is widely used in the task of hyperspectral image compression
(HSIC). They have achieved outstanding performance in the compression of a hyperspectral …
(HSIC). They have achieved outstanding performance in the compression of a hyperspectral …
Fractional wavelet filter based low memory coding for hyperspectral image sensors
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 …
of hyperspectral images is proposed. The hyperspectral images are volumetric images that …
Listless block cube tree coding for low resource hyperspectral image compression sensors
H Chandra, S Bajpai - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Hyperspectral (HS) image has rich spectral information content, which facilitates multiple
applications including remote sensing. Due to the big data size of the HS image …
applications including remote sensing. Due to the big data size of the HS image …
Hyperspectral image compression using sampling and implicit neural representations
S Rezasoltani, FZ Qureshi - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Hyperspectral images record electromagnetic spectrum, and each hyperspectral pixel often
stores hundreds of channels. Consequently, a hyperspectral image contains an order of …
stores hundreds of channels. Consequently, a hyperspectral image contains an order of …
Unmixing aware compression of hyperspectral image by rank aware orthogonal parallel factorization decomposition
Efficient compression is pertinent for the convenient storage, transmission, and processing
of modern high-resolution hyperspectral images (HSI). We propose a high-performance HSI …
of modern high-resolution hyperspectral images (HSI). We propose a high-performance HSI …
3D-Memory efficient listless set partitioning in hierarchical trees for hyperspectral image sensors
Hyperspectral (HS) images contain rich spatial and spectral information. Due to its large
size, it is difficult to store, process, analyze, or transmit the critical information contained in it …
size, it is difficult to store, process, analyze, or transmit the critical information contained in it …
3D-Block Partitioning Embedded Coding for Hyperspectral Image Sensors
H Chandra, S Bajpai - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Computational complexity with the coding efficiency of any hyperspectral image sensor is a
challenging issue. 3D-SPIHT has reasonable complexity and generates an embedded bit …
challenging issue. 3D-SPIHT has reasonable complexity and generates an embedded bit …