Results 61 to 70 of about 65,529 (267)
INDEX QUALITY ASSESMENT CITRA TERINTERPOLASI (SSIM dan FSIM)
JUTEI (Jurnal Terapan Teknologi Informasi), 2017 Ada sejumlah aplikasi dalam pengenalan pola yang membutuhkan citra dengan ukuran tertentu. Ukuran citra menentukan hasil dari pengenalan pola suatu sistem. Suatu metode interpolasi digunakan untuk menyesuaikan ukuran suatu citra.
Meirista Wulandari
doaj +1 more source
Medical inter-modality volume-to-volume translation
Journal of King Saud University: Computer and Information Sciences, 2023 Many clinical works require medical inter-modality imaging results since the supplementary imaging information from different modalities can be combined to provide better decision-making.
Jinjin Chen, Yongjian Huai, Ji Ma
doaj +1 more source
No-reference Image Denoising Quality Assessment [PDF]
, 2018 A wide variety of image denoising methods are available now. However, the performance of a denoising algorithm often depends on individual input noisy images as well as its parameter setting.
Lu, Si
core +2 more sources
Deep Multiple Description Coding by Learning Scalar Quantization
, 2019 In this paper, we propose a deep multiple description coding framework, whose quantizers are adaptively learned via the minimization of multiple description compressive loss. Firstly, our framework is built upon auto-encoder networks, which have multiple
Bai, Huihui +3 more
core +1 more source
Mystery behind similarity measures mse and SSIM [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Similarity or distance measures play an important role in various pattern recognition applications such as classification, clustering, change detection, information retrieval, energy minimization and optimization problems. We shall analyze theoretically the two most popular quality measures MSE and SSIM used in image processing by showing their origin,
openaire +2 more sources
3D-SSIM for video quality assessment [PDF]
2012 19th IEEE International Conference on Image Processing, 2012 Effective and efficient objective video quality assessment (VQA) methods are highly desirable in modern visual communication systems for performance evaluation, quality control and resource allocation purposes. Simple VQA algorithms may be developed by direct extensions of still image quality assessment (IQA) approaches on a frame-by-frame basis ...
Kai Zeng, Zhou Wang
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His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
Advanced Science, EarlyView.His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source
Projection image-to-image translation in hybrid X-ray/MR imaging
, 2019 The potential benefit of hybrid X-ray and MR imaging in the interventional environment is large due to the combination of fast imaging with high contrast variety. However, a vast amount of existing image enhancement methods requires the image information
Breininger, Katharina +7 more
core +1 more source
Calibrating MS-SSIM for compression distortions using MLDS [PDF]
2011 18th IEEE International Conference on Image Processing, 2011 In this paper, we describe a recently developed method for assessing perceived image quality, Maximum Likelihood Difference Scaling (MLDS), and use it to assess the performance of MS-SSIM on compression distored images. MLDS allows us to quantify supra-threshold perceptual differences between pairs of images and to examine how perceived image quality ...
Charrier, Christophe +3 more
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source