Results 131 to 140 of about 10,267 (252)
Function-valued Mappings and SSIM-based Optimization in Imaging
In a few words, this thesis is concerned with two alternative approaches to imag- ing, namely, Function-valued Mappings (FVMs) and Structural Similarity Index Measure (SSIM)-based Optimization. Briefly, a FVM is a mathematical object that assigns to each
Otero, Daniel
core
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin +4 more
wiley +1 more source
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
ABSTRACT This study investigates how 14 sustainable consumption and production (SCP) factors interact across four service categories—Mass Service, Professional Service, Service Factory, and Service Shop—using interpretive structural modeling (ISM). ISM enables the identification and hierarchical classification of interdependencies among SCP factors in ...
Amanda Duarte Feitosa +4 more
wiley +1 more source
Image Denoising Using Multi-ModelFusion Technique
Image denoising is a fundamental challenge in the field of image processing, with the primary goal of recovering high-quality images from noisy counterparts.
Kamal Khan, Muhammad Anwar, Saifullah
doaj
Deep Image Deblurring for Non-Uniform Blur: a Comparative Study of Restormer and BANet
Image blur is one of the common degradations on an image. The blur that occurs on the captured images is sometimes non-uniform, with different levels of blur in different areas of the image.
Made Prastha Nugraha +1 more
doaj +1 more source
Comparison of data handling techniques for modeling bat acoustic activity
We deployed 169 acoustic recording units (A) across the Raystown Lake Project, Huntingdon County, Pennsylvania, USA (B). Echolocation recordings were used to evaluate alternative acoustic data handling methods and their effects on bat acoustic activity model predictions.
Zackary W. Isenhour +3 more
wiley +1 more source
SSIM-based rate-distortion optimization in H.264
In the current video coding standards, rate-distortion optimization (RDO) plays an important role in achieving best tradeoff between the perceived distortion and transmission rate. It is widely used in all kinds of encoder decisions, including block mode
Jiantao Zhou +11 more
core +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source

