Results 21 to 30 of about 239,093 (118)

Edge-Based and Prediction-Based Transformations for Lossless Image Compression

Journal of Imaging, 2018
Pixelated images are used to transmit data between computing devices that have cameras and screens. Significant compression of pixelated images has been achieved by an “edge-based transformation and entropy coding” (ETEC) algorithm recently ...
Md. Ahasan Kabir, M. Rubaiyat Hossain Mondal   +1 more
doaj   +1 more source

Standard and Specific Compression Techniques for DNA Microarray Images

Algorithms, 2012
We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work.
Michael W. Marcellin, Joan Serra-Sagristà, Miguel Hernández-Cabronero, Ian Blanes   +3 more
doaj   +1 more source

Implementing the DICOM standard for digital pathology

Journal of Pathology Informatics, 2018
Background: Digital Imaging and Communications in Medicine (DICOM®) is the standard for the representation, storage, and communication of medical images and related information.
Markus D Herrmann, David A Clunie, Andriy Fedorov, Sean W Doyle, Steven Pieper, Veronica Klepeis, Long P Le, George L Mutter, David S Milstone, Thomas J Schultz, Ron Kikinis, Gopal K Kotecha, David H Hwang, Katherine P Andriole, A John Iafrate, James A Brink, Giles W Boland, Keith J Dreyer, Mark Michalski, Jeffrey A Golden, David N Louis, Jochen K Lennerz   +21 more
doaj   +1 more source

Real-Time Lossless Compression System for Bayer Pattern Images with a Modified JPEG-LS

Mathematics
Real-time lossless image compression based on the JPEG-LS algorithm is in high demand for critical missions such as satellite remote sensing and space exploration due to its excellent balance between complexity and compression rate.
Xufeng Li, Li Zhou, Yan Zhu
doaj   +1 more source

A systematic color correction pipeline for controlled‐environment imaging

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi, Michael A. Hardigan, Jungmin Lee, Scott B. Lukas, Max J. Feldman, Kayla R. Altendorf, Jeffrey L. Neyhart, Devin A. Rippner   +7 more
wiley   +1 more source

Machine Vision‐Based Morphological Benchmarking and Extrusion Optimization of Analog Rice: A Digital Image Analysis Framework for Agricultural Grain Quality Evaluation

Applied Research, Volume 5, Issue 5, October 2026.
A low‐cost Python‐based machine vision framework quantified rice morphology and optimized analog‐rice extrusion. Within the tested range, 50 Hz screw speed and 45 Hz cutter speed produced grains with 96.6% morphological similarity to the commercial Pusa Basmati 1121 reference.
Rosniza Rabilah, Noor Iswadi Ismail, Mahamad Hisyam Mahamad Basri   +2 more
wiley   +1 more source

Human‐in‐the‐loop eider duck counting in Arctic Canada with an open‐vocabulary multispecies wildlife detector

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract Accurate monitoring of eider duck populations in Arctic Canada is essential for understanding ecosystem health and supporting conservation efforts in a rapidly changing climate. Traditional manual counting from aerial imagery is time‐consuming, labor‐intensive, and prone to observer bias.
Jayden Hsiao, Aryan Kalia, Zhonghao Zhang, Hudson Sun, Muhammed Patel, David A. Clausi, Lincoln Linlin Xu, Becky Segal, Joel Heath   +8 more
wiley   +1 more source

Reversible Integer-to-Integer Wavelet Filter Design for Lossless Image Compression

IEEE Access, 2020
In this paper, factors that influence the lossless compression efficiency of reversible integer-tointeger (ITI) wavelet filters are presented. It is observed that there is a converged region for the bitrate of the compressed subbands.
Jianyu Lin
doaj   +1 more source

Diagnostic Accuracy of Artificial Intelligence Models for Detecting Odontogenic Keratocytes on CBCT Imaging: A Systematic Review and Meta‐Analysis

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Differentiating odontogenic keratocyst (OKC) from other radiolucent jaw lesions like ameloblastoma is clinically important but radiographically difficult. Recent advances in artificial intelligence (AI) show promise for enhancing diagnosis using cone‐beam computed tomography (CBCT).
Reyhaneh Shoorgashti, Simin Lesan, Sarah Sadat Ehsani, Asma Yazdanfar   +3 more
wiley   +1 more source

Enhanced Framework for Lossless Image Compression Using Image Segmentation and a Novel Dynamic Bit-Level Encoding Algorithm

Applied Sciences
This study proposes a dynamic bit-level encoding algorithm (DEA) and introduces the S+DEA compression framework, which enhances compression efficiency by integrating the DEA with image segmentation as a preprocessing step.
Erdal Erdal, Alperen Önal
doaj   +1 more source