Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp. [PDF]
Asri MAA +8 more
europepmc +1 more source
Experimental data collected during quasi-static cyclic loading of mass timber lateral force-resisting system tested in a three-story building structure. [PDF]
Thielsen NT +4 more
europepmc +1 more source
Robust zero-watermarking for color images using hybrid deep learning models and encryption. [PDF]
Gharib HA, Abdelnapi NMM, Hosny KM.
europepmc +1 more source
A watermarking framework for encrypted medical images via HC chaotic system and deep learning. [PDF]
Liu Z, Li J, Nawaz SA.
europepmc +1 more source
Deep Learning for Image Watermarking: A Comprehensive Review and Analysis of Techniques, Challenges, and Applications. [PDF]
Bistroń M, Żurada JM, Piotrowski Z.
europepmc +1 more source
Wide-Area Visual Monitoring System Based on NB-IoT. [PDF]
Qiu G, Tao W, Hwang RC, Xie C.
europepmc +1 more source
A capacity estimation technique for JPEG-to-JPEG image watermarking [PDF]
In JPEG-to-JPEG image watermarking (J2J), the input is a JPEG image file. After watermark embedding, the image is JPEG-compressed such that the output file is also a JPEG file. We use the human visual system (HVS) model to estimate the J2J data hiding capacity of JPEG images, or the maximum number of bits that can be embedded in JPEG-compressed images.
P H W Wong
exaly +4 more sources
Related searches:
Performance Comparison of Jpeg, Jpeg XT, Jpeg LS, Jpeg 2000, Jpeg XR, HEVC, EVC and VVC for Images
2021 6th International Conference for Convergence in Technology (I2CT), 2021Online videos and image blogging are some of the major sources for internet traffic and are estimated to have exponential growth in the future. Efforts are made to introduce advanced compression formats for images and included in the future codecs. This paper focuses on analyzing and comparing the existing codecs with the potential codecs to obtain ...
S. Naveen Kumar +2 more
openaire +1 more source

