نتایج جستجو برای: bicubic functions
تعداد نتایج: 491111 فیلتر نتایج به سال:
Satellite images are being used in many applications like Meteorology, Agriculture, Geology, Forestry, Landscape, Biodiversity, Planning, Education, Regional, Seismology and oceanography. The Enhanced satellite images make diagnostic details more obvious. The Image Enhancement is the main technique for improving the resolution and visual appearance of the image. One of the major issues in Image...
Accurate energy functions are critical to macromolecular modeling and design. We describe new tools for identifying inaccuracies in energy functions and guiding their improvement, and illustrate the application of these tools to the improvement of the Rosetta energy function. The feature analysis tool identifies discrepancies between structures deposited in the PDB and low-energy structures gen...
This paper presents the results of enhancing images from a left and right stereo pair in order to increase the resolution of a 3D representation of a scene generated from that same pair. A new neural network structure known as a Self Delaying Dynamic Network (SDN) has been used to perform the enhancement. The advantage of SDNs over existing techniques such as bicubic interpolation is their abil...
Conventional image interpolation methods such as the bilinear and bicubic algorithms determine the weights of the reference pixels based on the special distance between the supplementary pixel and the reference pixels. They suffer from some problems such as blurring and jagging around the edges since the edge structure is not considered in interpolation. In this paper, a coordinate rotation and...
Application of Convolutional Neural Network Algorithm under Deep Learning in Digital Clothing Design
In order to overcome the influence of background, lighting, deformation, and other factors, using a constitutional neural network structure combined with metric learning, specifically, it includes two model structures, Siamese, Triplet. The use bicubic NURBS surfaces is proposed, idea constructing mannequins garment pieces, experimental results show that surface control flexible simple, calcula...
Image super-resolution (SR) is a significant technique in image processing as it enhances the spatial resolution of images, enabling various downstream applications. Based on recent achievements SR studies computer vision, deep-learning-based methods have been widely investigated for remote sensing images. In this study, we proposed two-stage approach called bicubic-downsampled low-resolution (...
Background: High-resolution medical images often need to be downsampled because of the memory limitations hardware used for machine learning. Although various image interpolation methods are applicable downsampling, effect data preprocessing on learning performance convolutional neural networks (CNNs) has not been fully investigated. Methods: In this study, five different pixel algorithms (near...
This paper introduces a wire-frame method for the generation of blending surfaces. It is a numerical approach to the design of surfaces that smoothly join two or more given surfaces. The blending surface generated by the wire-frame method is composed of a set of bicubic patches in parametric forms. The wire-frame method first constructs a set of wire-frames. Each element of the wire-frame is mo...
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