TMM Volume 22 Issue 4

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

2020

TMM Volume 22 Issue 4

With the development of cloud storage and privacy protection, reversible data hiding in encrypted images (RDHEI) has attracted increasing attention as a technology that can: embed additional data in the image encryption domain, ensure that the embedded data can be extracted error-free, and the original image can be restored losslessly. 

Image compression has been an important research topic for many decades. Recently, deep learning has achieved great success in many computer vision tasks, and its use in image compression has gradually been increasing. In this paper, we present an energy compaction-based image compression architecture using a convolutional autoencoder (CAE) to achieve high coding efficiency. 

Light field (LF) imaging enables new possibilities for digital imaging, such as digital refocusing, changing of focus plane, changing of viewpoint, scene-depth estimation, and 3D scene reconstruction, by capturing both spatial and angular information of light rays. However, one main problem in dealing with LF data is its sheer volume.

The scalable high efficiency video coding (SHVC) is an extension of high efficiency video coding (HEVC). It introduces multiple layers and inter-layer prediction, thus significantly increases the coding complexity on top of the already complicated HEVC encoder. In inter prediction for quality SHVC, in order to determine the best possible mode at each depth level, a coding tree unit can be recursively split into four depth levels.

SPS on Twitter

  • NEW SPS WEBINAR: On Tuesday, 13 December, join Dr. Qian Huang for "Deep Learning for All-in-Focus Imaging" - regist… https://t.co/4AVCabulyP
  • Join the SPS Membership Drive on Monday, 12 December, when SPS members, potential members, and the greater signal p… https://t.co/gtbisawJIK
  • The fundraising deadline to meet our 30 unique donations of US$10 or more is tonight — increase your impact for sig… https://t.co/KTzzCKnEMO
  • Happy ! Celebrate this global day of generosity and community action with the IEEE Foundation and… https://t.co/UvaytMFnQ1
  • The SPS Biomedical Imaging and Signal Processing Technical Committee Webinar Series continues on Tuesday, 6 Decembe… https://t.co/SYEEzoxIAK

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar