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  • Article
  • Open Access
7 Citations
5,381 Views
28 Pages

Reduction of Artefacts in JPEG-XR Compressed Images

  • Kai-Lung Hua,
  • Ho Thi Trang,
  • Kathiravan Srinivasan,
  • Yung-Yao Chen and ,
  • Chun-Hao Chen,
  • Vishal Sharma and
  • Albert Y. Zomaya
  • + 2 authors+ 0 author

9 March 2019

The JPEG-XR encoding process utilizes two types of transform operations: Photo Overlap Transform (POT) and Photo Core Transform (PCT). Using the Device Porting Kit (DPK) provided by Microsoft, we performed encoding and decoding processes on JPEG XR i...

(This article belongs to the Special Issue Selected Papers from INNOV 2018)
  • Review
  • Open Access
120 Citations
17,750 Views
26 Pages

The Current Role of Image Compression Standards in Medical Imaging

  • Feng Liu,
  • Miguel Hernandez-Cabronero,
  • Victor Sanchez,
  • Michael W. Marcellin and
  • Ali Bilgin

19 October 2017

With the increasing utilization of medical imaging in clinical practice and the growing dimensions of data volumes generated by various medical imaging modalities, the distribution, storage, and management of digital medical image data sets requires...

(This article belongs to the Section Review)
  • Review
  • Open Access
35 Citations
11,117 Views
40 Pages

A great deal of information is produced daily, due to advances in telecommunication, and the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data compression is essential in managing this information well....

(This article belongs to the Special Issue Recent Advances in Multimedia Signal Processing and Communications)
  • Article
  • Open Access
8 Citations
3,572 Views
21 Pages

An Autoencoder-Based Task-Oriented Semantic Communication System for M2M Communication

  • Prabhath Samarathunga,
  • Hossein Rezaei,
  • Maheshi Lokumarambage,
  • Thushan Sivalingam and ,
  • Nandana Rajatheva and
  • Anil Fernando
  • + 1 author+ 0 author

2 November 2024

Semantic communication (SC) is a communication paradigm that has gained significant attention, as it offers a potential solution to move beyond Shannon’s formulation in bandwidth-limited communication channels by delivering the semantic meaning...

(This article belongs to the Special Issue Machine Learning Algorithms for Image Understanding and Analysis)