activity
20222025
most citedFrequency Disentangled Features in Neural Image Compression

11 citations · 29 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Spectral and Spatial Graph Learning for Multispectral Solar Image Compression

Prasiddha Siwakoti, Atefeh Khoshkhahtinat, Piyush M. Mehta +3

High-fidelity compression of multispectral solar imagery remains challenging for space missions, where limited bandwidth must be balanced against preserving fine spectral and spati…

eess.IV2024

Neural-based Video Compression on Solar Dynamics Observatory Images

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta +4

NASA's Solar Dynamics Observatory (SDO) mission collects extensive data to monitor the Sun's daily activity. In the realm of space mission design, data compression plays a crucial…

eess.IV2024

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta +1

While replacing Gaussian decoders with a conditional diffusion model enhances the perceptual quality of reconstructions in neural image compression, their lack of inductive bias fo…

eess.IV2023★ 7 cited

Neural-based Compression Scheme for Solar Image Data

Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda +6

Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them eff…

eess.IV2023

Multi-spectral Entropy Constrained Neural Compression of Solar Imagery

Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta +4

Missions studying the dynamic behaviour of the Sun are defined to capture multi-spectral images of the sun and transmit them to the ground station in a daily basis. To make transmi…

eess.SP2023

Dynamic Changes of Brain Network during Epileptic Seizure

Atefeh Khoshkhahtinat, Hoda Mohammadzade

Epilepsy is a neurological disorder identified by sudden and recurrent seizures, which are believed to be accompanied by distinct changes in brain dynamics. Exploring the dynamic c…

eess.IV2023★ 1 cited

Multi-Context Dual Hyper-Prior Neural Image Compression

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta +3

Transform and entropy models are the two core components in deep image compression neural networks. Most existing learning-based image compression methods utilize convolutional-bas…

eess.IV2023

Context-Aware Neural Video Compression on Solar Dynamics Observatory

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta +4

NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's daily activity. Data compression is crucial for space missions to reduce data storage and v…

eess.IV2023★ 11 cited

Frequency Disentangled Features in Neural Image Compression

Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta +3

The design of a neural image compression network is governed by how well the entropy model matches the true distribution of the latent code. Apart from the model capacity, this abi…

eess.IV2022★ 10 cited

Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory

Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta +4

NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day from its geosynchronous orbit in space. SDO data includes images of the Sun captured at diffe…