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Structural Similarity Index (SSIM)

Image Recognition using Coefficient of Correlation and Structural SIMilarity Index in Uncontrolled Environment

Image Recognition using Coefficient of Correlation and Structural SIMilarity Index in Uncontrolled Environment

... and Structural Similarity Index (SSIM) for image recognition in real-time ...Coefficient, Structural Similarity Index ...

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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 Index (SSIM) is modified by including the Particle Swarm Optimization algorithm for retrieving the similar medical ...

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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

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

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

... the structural similarity (SSIM) index, which is used in image processing to assess the similarity between an image representation and an original reference image, can be formulated as a ...

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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

... The main contributions of this work are as follows: First, we focus on the concept of image contents detectability and its relation to the image smoothness fidelity. Second, we define new image smoothness in term of ...

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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

... In summary, an incipient method to abstract high-density additive white Gaussian noise utilizing Two-Level decomposition amalgamated with PLOW is proposed. The proposed algorithm abstracts noise even at higher densities ...

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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

... SSIM index are used instead of the MSE in image quality ...SSIM index rests on the assumption that the human visual system is adapted to extract structural information from a given view, and as such, ...

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Image decomposition-based structural similarity index for image quality assessment

Image decomposition-based structural similarity index for image quality assessment

... The structural similarity image (SSIM) index proposed by Wang et ...of structural similarity can provide a good approximation of the perceived image ...SSIM index (IWSSIM) by ...

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Estimation of Image Quality under Different Distortions

Estimation of Image Quality under Different Distortions

... Image quality measurement has been done using different algorithms. Out of them some are Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), Average Difference (AD), Maximum Difference, Universal Image Quality ...

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Structural Similarity Measure for Color Images

Structural Similarity Measure for Color Images

... quality index (UQI) and its improved form the single-scale structural similarity index (SSIM) [6] by modeling the image distortion as a combination of loss of luminance, contrast, and ...

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Image Inpainting Through Quality Based Patch Selection Matrix

Image Inpainting Through Quality Based Patch Selection Matrix

... (Structural Similarity Index Metrics) is integrated in the process of inpainting, where, Confidence term, data term and priorities for the patches are based on SSIM index that compares local ...

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A Comparison between Different Segmentation Techniques used in Medical Imaging

A Comparison between Different Segmentation Techniques used in Medical Imaging

... Abstract Tumor segmentation from MRI image is important part of medical images experts. This is particularly a challenging task because of the high assorting appearance of tumor tissue among different patients. MRI ...

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Assessment of Diverse Quality Metrics for Medical  Images Including Mammography

Assessment of Diverse Quality Metrics for Medical Images Including Mammography

... (or similarity) between a degraded image and that of the original image ...as Structural Similarity Index M etrics (SSIM )for low cost medical image ...

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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

... In order to calculate the performance of Shahad. A.H method and use the new distance to encrypt the image, the researchers use the mean square error(MSE) , Peak Signal to Noise Ratio (PSNR) ,Correlation Coefficient and ...

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A New Approaches for Image De-Blurring in Optical Imaging Application Using Derivative Compressed Sensing

A New Approaches for Image De-Blurring in Optical Imaging Application Using Derivative Compressed Sensing

... the structural similarity index (SSIM) which is believed to be a better indicator of perceptual image quality The resulting values of the comparison metrics are summarized in Table I, whereas the ...

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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

... Hearing loss research has traditionally been based on perceptual cri- teria, speech intelligibility and threshold levels. The development of computational models of the auditory-periphery has allowed ex- perimentation ...

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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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Diverse bacterial genomes encode an operon of two genes, one of which is an unusual class-I release factor that potentially recognizes atypical mRNA signals other than normal stop codons

Diverse bacterial genomes encode an operon of two genes, one of which is an unusual class-I release factor that potentially recognizes atypical mRNA signals other than normal stop codons

... and structural similarity ...significant structural and sequence similarity between RF1 and ...by structural stud- ies revealed that such "RF anticodons" are in close proximity ...

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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

... 2) Incorporation of triangle orientations + stem density. The first modification enables the index to distinguish forest type a from type b, as in Figure 2. The two types do not differ in stem density, and trees ...

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PP 2013 10: 
  Segmentation and timbre  and rhythm similarity in Electronic Dance Music

PP 2013 10: Segmentation and timbre and rhythm similarity in Electronic Dance Music

... of similarity ratings is problematic since virtually no ground truth corpora exist for these tasks, let alone for the even more specified task of timbre similarity of musical EDM ...

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