|
|
|
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
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
Chien-Chang Chen, Meng-Yuan Tsai, Ming-Ze Kao and Henry Horng-Shing Lu
The research work proposes an avenue of image segmentation that can simultaneously reduce computational complexity and filter image pollution for clinical investigations.
|
|
|
|
|
|
|
Nyoman P. Sastra,W Wirawan,Gamantyo Hendrantoro
Pág. 146 - 154
Wireless Visual Sensor Network (WVSN) is a system that consists of visual sensor nodes with an embedded processor. WVSN devices have limited resources of energy, computation capability, memory, and bandwidth. Due to these limitations the implementation o...
ver más
|
|
|
|
|
|
|
Jinjia Zhou and Jian Yang
Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. This paper provides a comprehensive exploration of the key components...
ver más
|
|
|
|
|
|
|
Qi Shi, Daheng Wang, Wen Chen, Jinpei Yu, Weiting Zhou, Jun Zou and Guangzu Liu
Satellite image compression technology plays an important role in the development of space science. As optical sensors on satellites become more sophisticated, high-resolution and high-fidelity satellite images will occupy more storage. This raises the r...
ver más
|
|
|
|
|
|
|
Carmelo Scribano, Danilo Pezzi, Giorgia Franchini and Marco Prato
With the recent advancements in the field of diffusion generative models, it has been shown that defining the generative process in the latent space of a powerful pretrained autoencoder can offer substantial advantages. This approach, by abstracting away...
ver más
|
|
|
|
|
|
|
Yu Ning, Yong-Ping Jin, You-Duo Peng and Jian Yan
Efficient underwater visual environment perception is the key to realizing the autonomous operation of underwater robots. Because of the complex and diverse underwater environment, the underwater images not only have different degrees of color cast but a...
ver más
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
Pasqualino Corigliano
The aim of this scientific work was to evaluate the compression instability effects during static and low-cycle fatigue loadings of AA 5083 welded joints, commonly used in marine structures. Low-cycle fatigue assessment in marine structures is of utmost ...
ver más
|
|
|
|
|
|
|
Maria Lia Napoli, Lorenzo Milan, Monica Barbero and Claudio Scavia
Mélanges are heterogeneous geological deposits and represent the most widespread bimrock (block-in-matrix) formations. This paper presents the efforts undertaken to characterise an Italian mélange composed of a clayey-marly matrix enclosing strong calcar...
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
|
|
|
|
|
|
|
Ranjeet Vasant Bidwe, Sashikala Mishra, Shruti Patil, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha and Bhushan Zope
Every data and kind of data need a physical drive to store it. There has been an explosion in the volume of images, video, and other similar data types circulated over the internet. Users using the internet expect intelligible data, even under the pressu...
ver más
|
|
|
|
|
|
|
Habib Hamam
We propose a new rotation invariant correlator using dimensionality reduction. A diffractive phase element is used to focus image data into a line which serves as input for a conventional correlator. The diffractive element sums information over each rad...
ver más
|
|
|
|
|
|
|
Dong Duan, Xiaoyu Chen, Xiaojing Feng, Xin Wang and Jiang Sun
In order to study the damage evolution law and failure mechanism of mudstone under different stress states, with the help of high-resolution CT scanning equipment, in situ CT scanning experiments of mudstone under uniaxial compression were carried out. C...
ver más
|
|
|
|
|
|
|
Shrutika S. Sawant, Marco Wiedmann, Stephan Göb, Nina Holzer, Elmar W. Lang and Theresa Götz
The success of the convolutional neural network (CNN) comes with a tremendous growth of diverse CNN structures, making it hard to deploy on limited-resource platforms. These over-sized models contain a large amount of filters in the convolutional layers,...
ver más
|
|
|
|
|
|
|
Viktar Atliha and Dmitrij ?e?ok
Image captioning is a very important task, which is on the edge between natural language processing (NLP) and computer vision (CV). The current quality of the captioning models allows them to be used for practical tasks, but they require both large compu...
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
|
|
|
|
|
|
|
Marcin Lawnik, Artur Pelka and Adrian Kapczynski
In the era of ubiquitous digitization, the Internet of Things (IoT), information plays a vital role. All types of data are collected, and some of this data are stored as text files. An important aspect?regardless of the type of data?is related to file st...
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
|
|
|
|