|
|
|
|
|
Xuesong Jin, Huiyuan Sun and Yuhang Zhang
This research is based on an intra-frame rate control algorithm based on the Versatile Video Coding (VVC) standard, considering that there is the phenomenon of over-allocating the bitrate of the end coding tree units (CTUs) in the bit allocation process,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moiz Hassan, Kandasamy Illanko and Xavier N. Fernando
Single Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques. SSIR has numerous applications in fields such as medical/sate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Feng Tian, Mengjiao Wang and Xiaopei Liu
Aiming at solving the problems of local halo blurring, insufficient edge detail preservation, and serious noise in traditional image enhancement algorithms, an improved Retinex algorithm for low-light mine image enhancement is proposed. Firstly, in HSV c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pengfei Zhao and Ze Liu
The three-dimensional (3D) reconstruction of Electromagnetic Tomography (EMT) is an important task for many applications, such as the non-destructive testing of inner defects in rail systems. Additionally, image reconstruction algorithms utilizing deep l...
ver más
|
|
|
|
|
|
|
|
|
|
|
Habiba Sultana, A. H. M. Kamal, Gahangir Hossain and Muhammad Ashad Kabir
In digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. By combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper. This m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Teresa Kwamboka Abuya, Richard Maina Rimiru and George Onyango Okeyo
Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details? preservation. During the transmission of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ammar Odeh, Anas Abu Taleb, Tareq Alhajahjeh and Francisco Navarro
Securing medical imaging poses a significant challenge in preserving the confidentiality of healthcare data. Numerous research efforts have focused on fortifying these images, with encryption emerging as a primary solution for maintaining data integrity ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sarwar Shah Khan, Muzammil Khan and Yasser Alharbi
Contrast enhancement techniques serve the purpose of diminishing image noise and increasing the contrast of relevant structures. In the context of medical images, where the differentiation between normal and abnormal tissues can be quite subtle, precise ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shengqin Bian, Xinyu He, Zhengguang Xu and Lixin Zhang
Noise filtering is a crucial task in digital image processing, performing the function of preprocessing. In this paper, we propose an algorithm that employs deep convolution and soft thresholding iterative algorithms to extract and learn the features of ...
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
|
|
|
|
|
|