Now showing items 1-10 of 13
Cycle-consistent generative adversarial neural networks based low quality fingerprint enhancement
(Springer, 1 July 202)
Distortions such as dryness, wetness, blurriness, physical damages and presence of dots in fingerprints are a detriment to a good analysis of them. Even though fingerprint image enhancement is possible through physical ...
Virtual Reality and Its Applications in Education: Survey
In the education process, students face problems with understanding due to the complexity, necessity of abstract thinking and concepts. More and more educational centres around the world have started to introduce powerful ...
A novel deep network architecture for reconstructing RGB facial images from thermal for face recognition
This work proposes a fully convolutional network architecture for RGB face image generation from a given input thermal face image to be applied in face recognition scenarios. The proposed method is based on the FusionNet ...
Adaptive multi-view video streaming using side information over peer-to-peer networks
Multi-view plus-depth-map (MVD) video streaming with autostereoscopic displays provides multi-user immersive media experiences. In this context, delivery of MVD representation to multiple clients remains a challenging ...
Imperceptible non-blind watermarking and robustness against tone mapping operation attacks for high dynamic range images
High dynamic range (HDR) imaging has experienced a widespread during the recent years through various technologies, including social network applications, which necessitates robust watermarking schemes to protect the ...
Image illumination enhancement with an objective no-reference measure of illumination assessment based on Gaussian distribution mapping
(ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD, 2015-12)
Illumination problems have been an important concern in many image processing applications. The pattern of the histogram on an image introduces meaningful features; hence within the process of illumination enhancement, it ...
Optimal image compression via block-based adaptive colour reduction with minimal contour effect
Current image acquisition devices require tremendous amounts of storage for saving the data returned. This paper overcomes the latter drawback through proposing a colour reduction technique which first subdivides the image ...
Low-quality fingerprint classification using deep neural network
(INST ENGINEERING TECHNOLOGY-IET, 2018-11)
Fingerprint recognition systems mainly use minutiae points information. As shown in many previous research works, fingerprint images do not always have good quality to be used by automatic fingerprint recognition systems. ...
Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect (Multimedia Tools and Applications, (2018), 77, 23, (30939-30968), 10.1007/s11042-018-6118-y)
After the publication of this work , it was noticed that the co-author Pejman Rasti was omitted as the first author following an institutional investigation. The first author’s name is inserted in this erratum article.
Action Recognition Using Single-Pixel Time-of-Flight Detection
Action recognition is a challenging task that plays an important role in many robotic systems, which highly depend on visual input feeds. However, due to privacy concerns, it is important to find a method which can recognise ...