Results 11 to 20 of about 770,807 (317)
Image quality assessment based on the perceived structural similarity index of an image
Image quality assessment (IQA) has a very important role and wide applications in image acquisition, storage, transmission and processing. In designing IQA models, human visual system (HVS) characteristics introduced play an important role in improving ...
Juncai Yao, Jing Shen, Congying Yao
doaj +2 more sources
No-Reference Blurred Image Quality Assessment by Structural Similarity Index
No-reference (NR) image quality assessment (IQA) objectively measures the image quality consistently with subjective evaluations by using only the distorted image.
Haopeng Zhang +3 more
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On the Mathematical Properties of the Structural Similarity Index [PDF]
Since its introduction in 2004, the structural similarity (SSIM) index has gained widespread popularity as a tool to assess the quality of images and to evaluate the performance of image processing algorithms and systems. There has been also a growing interest of using SSIM as an objective function in optimization problems in a variety of image ...
Dominique, Brunet +2 more
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On a Structural Similarity Index Approach for Floating-Point Data [PDF]
Data visualization is typically a critical component of post-processing analysis workflows for floating-point output data from large simulation codes, such as global climate models. For example, images are often created from the raw data as a means for evaluation against a reference dataset or image.
Allison H. Baker +2 more
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Structural similarity index family for image quality assessment in radiological images. [PDF]
Renieblas GP +4 more
europepmc +2 more sources
Optimal Design of Multichannel Equalizers for the Structural Similarity Index
The optimization of multichannel equalizers is studied for the structural similarity (SSIM) criteria. The closed-form formula is provided for the optimal equalizer when the mean of the source is zero. The formula shows that the equalizer with maximal SSIM index is equal to the one with minimal mean square error (MSE) multiplied by a positive real ...
Li, Chai, Yuxia, Sheng
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PSI: indexing protein structures for fast similarity search [PDF]
Abstract Motivation: We consider the problem of finding similarities in protein structure databases. Current techniques sequentially compare the given query protein to all of the proteins in the database to find similarities. Therefore, the cost of similarity queries increases linearly as the volume of the protein databases increase.
Orhan, Camoglu +2 more
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Image enhancement is a procedure used to process images so that they can correct or improve image quality so that they can then be analyzed for specific purposes. Many image enhancement algorithms can be applied to an image.
Halim Bayuaji Sumarna +2 more
semanticscholar +1 more source
Optimal structural similarity constraint for reversible data hiding
Most reversible data hiding (RDH) techniques have been evaluated by PSNR,which is based on MSE.Unfortunately,MSE turns out to be an extremely poor measure when the purpose is to predict perceived signal fidel-ity or quality.The structural similarity ...
Jia-jia XU,Wei-ming ZHANG,Rui-qi JIANG,Neng-hai YU,Xiao-cheng HU
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Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders [PDF]
Generative models and inferential autoencoders mostly make use of $\ell_2$ norm in their optimization objectives. In order to generate perceptually better images, this short paper theoretically discusses how to use Structural Similarity Index (SSIM) in ...
Benyamin Ghojogh +2 more
semanticscholar +1 more source

