|
|
|
Ehsaneddin Jalilian, Michael Linortner and Andreas Uhl
Collective cell movement is an indication of phenomena such as wound healing, embryonic morphogenesis, cancer invasion, and metastasis. Wound healing is a complicated cellular and biochemical procedure in which skin cells migrate from the wound boundarie...
ver más
|
|
|
|
|
|
|
Barbara Cardone, Ferdinando Di Martino and Salvatore Sessa
This research proposes a new image compression method based on the F1-transform which improves the quality of the reconstructed image without increasing the coding/decoding CPU time. The advantage of compressing color images in the YUV space is due to th...
ver más
|
|
|
|
|
|
|
Urmila Pilania, Rohit Tanwar, Mazdak Zamani and Azizah Abdul Manaf
In today?s world of computers everyone is communicating their personal information through the web. So, the security of personal information is the main concern from the research point of view. Steganography can be used for the security purpose of person...
ver más
|
|
|
|
|
|
|
Yash Veer Singh, Shadab Khan, Santosh Kumar Shukla and Ki-Hyun Jung
In this paper, a local-moment-driven robust reversible data hiding (LM-RRDH) scheme is proposed, which can provide security to hidden messages against unintentional modifications. The proposed LM-RRDH decomposes an image into LSB and MSB planes and then ...
ver más
|
|
|
|
|
|
|
Diana Cri?an, Alexandru Irimia, Dan Gota, Liviu Miclea, Adela Puscasiu, Ovidiu Stan and Honoriu Valean
The Newcomb?Benford law states that in a set of natural numbers, the leading digit has a probability distribution that decays logarithmically. One of its major applications is the JPEG compression of images, a field of great interest for domains such as ...
ver más
|
|
|
|
|
|
|
Weigui Li, Wenyu Sun, Yadong Zhao, Zhuqing Yuan and Yongpan Liu
An end-to-end image compression framework based on deep residual learning is proposed. Three levels of residual learning are adopted to improve the compression quality: (1) the ResNet structure; (2) the deep channel residual learning for quantization; an...
ver más
|
|
|
|
|
|
|
Walaa Khalaf, Abeer Al Gburi and Dhafer Zaghar
Image compression is one of the most important fields of image processing. Because of the rapid development of image acquisition which will increase the image size, and in turn requires bigger storage space. JPEG has been considered as the most famous an...
ver más
|
|
|
|
|
|
|
Qingming Zhang and Buhai Shi
This paper presents a novel method to extract local features, which instead of calculating local extrema computes global maxima in a discretized scale-space representation. To avoid interpolating scales on few data points and to achieve perfect rotation ...
ver más
|
|
|
|
|
|
|
Rasber Dh. Rashid, Ladeh S. Abdulrahman, Taban F. Majeed
Pág. 1 - 12
Digital Steganography means hiding sensitive data inside a cover object in a way that is invisible to un-authorized persons. Many proposed steganography techniques in spatial domain may achieve high invisibility requirement but sacrifice the good robustn...
ver más
|
|
|
|
|
|
|
Daniel Hein, Thomas Kraft, Jörg Brauchle and Ralf Berger
Security applications such as management of natural disasters and man-made incidents crucially depend on the rapid availability of a situation picture of the affected area. UAV-based remote sensing systems may constitute an essential tool for capturing a...
ver más
|
|
|
|