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mean structural similarity index

Evaluating Sensorineural Hearing Loss With An Auditory Nerve Model Using A Mean Structural Similarity Measure

Evaluating Sensorineural Hearing Loss With An Auditory Nerve Model Using A Mean Structural Similarity Measure

... The mean structural similarity index (MSSIM) is an objective measure originally devel- oped to assess perceptual image ...relative mean absolute error and relative mean squared ...

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A Survey on Super Resolution Image Enhancement using Structural Similarity Index Technique

A Survey on Super Resolution Image Enhancement using Structural Similarity Index Technique

... The mean structural similarity index is computed as follows: Firstly, the original and distorted images are divided into blocks of size 8 x 8 and then the blocks are converted into ...(10). ...

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Independent Component Analysis based Denoising of Magnetic Resonance Images

Independent Component Analysis based Denoising of Magnetic Resonance Images

... Denoising is an essential step for most of the digital image processing systems. Image denoising involves the manipulation of the image data to produce a visually high quality image. MRI images are always corrupted by ...

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Using structural similarity index measuring the Patch locally optimal wiener filter in discrete wavelet transform

Using structural similarity index measuring the Patch locally optimal wiener filter in discrete wavelet transform

... Image denoising has been a well studied quandary in the field of image processing and it is still a conundrum for researches. More expeditious shutter speeds and higher density of image sensors (pixels) result in higher ...

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Medical Image Retrieval using Structural Similarity Index with Particle Swarm Optimization

Medical Image Retrieval using Structural Similarity Index with Particle Swarm Optimization

... The structural similarity (SSIM) index [17] computes the similarity among ...as Mean Squared Error (MSE) and Peak-Signal-to-Noise Ratio ...The structural information of the ...

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Assessing quality of spatial models using the structural similarity index and posterior predictive checks

Assessing quality of spatial models using the structural similarity index and posterior predictive checks

... the structural similarity was poorest, with a mean SSIM index of ...SSIM index indicates differences in spatial structure between true model parameters and those estimated by the ...

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Image decomposition-based structural similarity index for image quality assessment

Image decomposition-based structural similarity index for image quality assessment

... based structural similarity (IDSSIM) index for image quality ...the mean and standard deviation of texture component are used to evaluate the local luminance and contrast similarity; ...

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MvSSIM: A quality assessment index for hyperspectral images

MvSSIM: A quality assessment index for hyperspectral images

... the structural similarity (SSIM) index has been widely applied in a band-by- band manner, as SSIM was originally designed for 2D images, and then the mean SSIM (MeanSSIM) index over all ...

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Structural Similarity Measure for Color Images

Structural Similarity Measure for Color Images

... used mean square error (MSE) metric and its correlated peak signal to noise ratio ...quality index (UQI) and its improved form the single-scale structural similarity index (SSIM) [6] by ...

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Modified Gradient Similarity Vs Structural Similarity for Image Quality Assessment

Modified Gradient Similarity Vs Structural Similarity for Image Quality Assessment

... The structural similarity (SSIM) index is a method for measuring the similarity between two ...SSIM index is a full reference metric, in other words, the measuring of image quality ...

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A Novel Image Structural Similarity Index Considering Image Content Detectability Using Maximally Stable Extremal Region Descriptor

A Novel Image Structural Similarity Index Considering Image Content Detectability Using Maximally Stable Extremal Region Descriptor

... spatially correlated noise (SCN), masked noise (MN), high frequency noise (HFN), impulse noise (IN), quantization noise (QN), Gaussian blur (GB), image denoising (DEN), JPEG compression (JPEG), JPEG2000 compression ...

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OFFLINE HANDWRITTEN SIGNATURE RECOGNITION USING HISTOGRAM ORIENTATION GRADIENT 
AND SUPPORT VECTOR MACHINE

OFFLINE HANDWRITTEN SIGNATURE RECOGNITION USING HISTOGRAM ORIENTATION GRADIENT AND SUPPORT VECTOR MACHINE

... the mean square error(MSE) , Peak Signal to Noise Ratio (PSNR) ,Correlation Coefficient and Structural Similarity ...with mean square error(MSE) , Peak Signal to Noise Ratio (PSNR), while ...

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IMPLEMENTATION OF IMAGE COMPRESSION USING SYMLET AND BIORTHOGONAL WAVELET BASED ON JPEG2000

IMPLEMENTATION OF IMAGE COMPRESSION USING SYMLET AND BIORTHOGONAL WAVELET BASED ON JPEG2000

... evaluated Mean square error (MSE),Peak siginal-to-noise (PSNR) ,Root mean square error (RMSE) and subjectively using two visual image quality metrics likes universal image quality index(UIQI) and ...

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Estimation of Image Quality under Different Distortions

Estimation of Image Quality under Different Distortions

... are Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), Average Difference (AD), Maximum Difference, Universal Image Quality Index (UIQI) and Structural Similarity Index Matric ...

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The High-Resolution Rate-Distortion Function under the Structural Similarity Index

The High-Resolution Rate-Distortion Function under the Structural Similarity Index

... A vast majority of the work on source coding with a fidelity criterion (i.e., rate-distortion theory) concentrates on the mean-squared error (MSE) fidelity criterion. The MSE fidelity criterion is used mainly due ...

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A SURVEY ON DATABASE SYNCHRONIZATION ALGORITHMS FOR MOBILE DEVICE

A SURVEY ON DATABASE SYNCHRONIZATION ALGORITHMS FOR MOBILE DEVICE

... of similarity based on descriptive properties of objects without considering the relationships between these ...new structural measure, based on sub-graph isomorphism, taking into account the distribution ...

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NCSU SAS Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization

NCSU SAS Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization

... This similarity measurement penalizes text ed- its such as insertion, deletion and ...1.0 similarity score because the simi- larity feature set can only capture local character order ...same ...

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Enhanced Structural Complexity Index: An Improved Index for Describing Forest Structural Complexity

Enhanced Structural Complexity Index: An Improved Index for Describing Forest Structural Complexity

... the index to discriminate among stand ...forest structural comple- xity is increased ...of structural com- plexity because it determines the mean growing space per plant and hence is an ...

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Frame Comparison Using Structural Similarity For
Fixed Threshold

Frame Comparison Using Structural Similarity For Fixed Threshold

... There are different ways to select key frame. Triangle model of perceived energy is one of them. The frames are the edge cutting point of the motion speeding up and motion speeding down in selected frames. Features like ...

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Learning Semantic Textual Similarity with Structural Representations

Learning Semantic Textual Similarity with Structural Representations

... textual similarity (STS) is at the cornerstone of many NLP ...pairwise similarity features are used to represent a text pair, our model features the following: (i) it directly encodes input texts into ...

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