quality metric
A New Image Quality Metric using System Visual Human Characteristics
... image quality metric based on the relative difference of gray levels of the image introduced by Weber's law was ...new metric outperforms the MSE significantly under different types of image ...
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A reduced-reference perceptual image and video quality metric based on edge preservation
... the quality of images impaired by both compression and transmission ...Our quality metric is tested versus the subjective quality values provided ...
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A quality metric for IDS signatures: in the wild the size matters
... signature quality metric that can be exploited by security specialists to evaluate the available rulesets, prioritize the generated alerts, and facilitate the forensics analysis ...our metric to ...
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No-reference image quality metric based on image classification
... image quality metric based on image ...blocking metric and a new blur ...blocking metric was computed by considering that the visibility of horizontal and vertical blocking artifacts can ...
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A New Quality Metric based on FFT Transform
... a quality metric based on the contrast sensitivity function ...a quality factor at all distances of observation, but what is visible from a distance may be invisible to another ...
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Software reliability improvement with quality metric and defect tracking
... Reliability is the important aspect of software system. Reliable software is able to achieve the better performance and allows software to work properly in a specified environment. It is very difficult to test the ...
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Image Quality Metric Based Intensity Classification With Multi Support Vector Machine
... discovering patterns in massive information sets. The goal of the mining method is the process of information extraction from a knowledge set. Image process is process of pictures victimization mathematical operations by ...
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A no-reference objective image quality metric based on perceptually weighted local noise
... noisiness quality metric. Furthermore, such noisiness metric could be further combined with the no- reference blur metrics [3,4] to provide a better prediction of image quality for several ...
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A perceptual quality metric for dynamic triangle meshes
... perceptual quality metric is the probability of distortion detection as a 3D map, acquired by taking the difference between estimated visual response 3D map of both meshes ...our quality estimation ...
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A probe quality metric taxonomy for assurance evaluation
... The quality level (QL) of a probe serves as a cap to the confidence level one can expect from using a certain type of ...the quality metric taxonomy and the specification in table 2, we derived the ...
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ViSQOLAudio: An objective audio quality metric for low bitrate codecs
... speech quality metric. 14–16 It is a full reference speech quality metric, comparable to POLQA, that uses similarity between spectrograms to measure ...quality metric. A detailed ...
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TerrorCat: a Translation Error Categorization based MT Quality Metric
... To better understand why sentence-level correlations are low, we analyzed the core of TerrorCat – its pair- wise classifier. Here, we focus on the most success- ful variant of the metric, which uses general PoS- ...
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Review of software quality metric used in today’s market
... better quality even though the defects per KLOC value could be higher when the functions were implemented by fewer lines of ...Point metric is weighted total of five major component s that comprises an ...
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Towards a Better Quality Metric for Graph Cluster Evaluation
... The Google websites’ density curves have tree-like densities as their maxima for s values up to 30, something that is not surprising, given the natural sparsity of technological networks. Nonetheless, for all values of s ...
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Image Compression with SVD : A New Quality Metric Based On Energy Ratio
... PSNR and SSIM are not suitable for SVD compression. Indeed, the typical value for PSNR is 30 dB and for SSIM, it is 0,93. However, a 30 dB compressed image with SVD is far from being a good quality image. The ...
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Full Reference Objective Quality Assessment for Reconstructed Background Images
... image quality techniques have been applied for evaluating the quality of the reconstructed background ...these quality assessment methods have been widely used in the past, their performance in ...
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Multiresolution Decomposition Schemes Using the Parameterized Logarithmic Image Processing Model with Application to Image Fusion
... PLIP model reverts to the LIP model with γ = M = 256, and secondly, that the combination of source images using this extreme case may still be visually unsatisfactory given the nature of the input images, even though the ...
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Segmentation Method for Automatic Leaf Disease Detection
... ABSTRACT: Present paper is an attempt to automatically detect leaf diseases. Automatic Detection of Leaf Disease is an essential research topic in agricultural research as it may prove benefits in monitoring fields, and ...
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EAPB: entropy-aware path-based metric for ontology quality
... At the technical level, we proposed a quality metric to assess the ontology entropy with information gain proc- essed by connectivity matrix. Ontology can be consid- ered as a graph or a network, the ...
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Online Full Text
... defining quality measurement method is a must, especially in the early stage of the game software development which will result in easier bug and software improvement and better cost effectiveness than ...
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