Visually Lossless Compression of Retina Images

Krivenko, Sergey; Krylova, O.; Shutko, Volodymyr

doi:10.1109/elnano.2018.8477459

Cited by 11 publications

(3 citation statements)

References 10 publications

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“…However, a fitted model could estimate the shape of newborn survival functions quite well. Coefficient of determination ( K ) for both annual mortality rates and newborn survival probabilities are also considerably good as all of them exceed 93%, satisfying the criteria set by [62] that a good model should have at least 90% rate of K .…”

Section: A Goodness Of Fitmentioning

confidence: 92%

Graduating Mortality Rates by Mixture of Pareto, Loglogistic, and Two Weibull Distributions using Bayesian Method

Chandra¹,

Abdullah²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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Mortality rates are important in conducting the pricing and valuation of life insurance policies. Raw values are usually wiggly to plot, and practitioners often graduate them to obtain smoothness. Current mortality models have problems related to the goodness of fit, interpretability, and usability without implementing other actuarial assumptions for fractional ages. This study proposes a mixture of Pareto, log-logistic, and two Weibull distributions with eleven parameters to graduate mortality rates. Lifespan covered are whole life, including childhood, adolescence, senescence, and the late elderly's phase. We adjusted the parameterization to improve the ease of model's interpretability right after obtaining the value of estimates. Prior distributions of the parameters and sampling model form for the data are also proposed to estimate the parameters' value using the Bayesian method with Gibbs sampling. High values of coefficient of determination produced by model fit into several data support the graphical evidence to show the model's goodness of fit and best fit occurs for the life table of Israeli males in 1987. Gelman-Rubin statistic is also very close to one and shows fast convergence in estimating the parameters. Based on the results, obtaining the best and worst estimates of newborn survival probabilities is possible. We also showed that this model could be implemented on annual and abridged mortality rates.

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Section: A Goodness Of Fitmentioning

confidence: 92%

Graduating Mortality Rates by Mixture of Pareto, Loglogistic, and Two Weibull Distributions using Bayesian Method

Chandra¹,

Abdullah²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…There are several approaches to visually lossless compression of images. For the case of noise-free or near noise-free images, one of the main approaches is presented in [40], according to which:…”

Section: Invisibility Threshold and Compressionmentioning

confidence: 99%

A Fast Method of Visually Lossless Compression of Dental Images

et al. 2020

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A noniterative approach to the problem of visually lossless compression of dental images is proposed for an image coder based on the discrete cosine transform (DCT) and partition scheme optimization. This approach considers the following peculiarities of the problem. It is necessary to carry out lossy compression of dental images to achieve large compression ratios (CRs). Since dental images are viewed and analyzed by specialists, it is important to preserve useful diagnostic information preventing appearance of any visible artifacts due to lossy compression. At last, dental images may contain noise having complex statistical and spectral properties. In this paper, we have analyzed and utilized dependences of three quality metrics (Peak signal-to-noise ratio, PSNR; eak Signal-to-Noise Ratio using Human Visual System and Masking (PSNR-HVS-M); and feature similarity, FSIM) on the quantization step (QS), which controls a compression ratio for the so-called advanced DCT coder (ADCTC). The threshold values of distortion visibility for these metrics have been considered. Finally, the recent results on detectable changes in noise intensity have been incorporated in the QS setting. A visual comparison of original and compressed images allows to conclude that the introduced distortions are practically undetectable for the proposed approach; meanwhile, the provided CR lies within the interval.

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“…Also, in [18] a comparative study is introduced to compress digital retinal images using JPEG and wavelet for different level of compression. In [19], an efficient coder based on discrete cosine transform (DCT) has been used by authors to compress retinal image. In [20], a quantitative analysis of the effects of JPEG image compression of retinal fundus camera images on vessel segmentation and on morphometric vascular measurements are reported.…”

Section: Introductionmentioning

confidence: 99%

Ultra low bitrate retinal image compression using integer lifting scheme and subband encoder

Habchi¹,

Aimer

Beladgham³

et al. 2021

IJEECS

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Recently, ophthalmic clinics have seen many complaints related to retinal diseases. The degree of clarity of the blood vessels (BV) in the eye can be an important indicator of some diseases affecting the retina such as diabetic retinopathy. To diagnose it, we need to intervene more than a medical team, especially in some difficult cases, through the exchange of medical images obtained by photography. This method has contributed significantly to the production of large data that can quickly saturate transmission, storage systems and increase processing time, so the need to compress images efficiently without modifying the content before transmission represents a major challenge. This paper provides an effective method for compressing color retinal images (CRI), which relies on the use of an integer lifting scheme (ILS) based on cohen daubechies-feaveau wavelet (CDFW9/7) and the set partitioning in hierarchical trees (SPIHT) to encode large coefficients. The obtained results demonstrate that the suggested method reduce algorithmic complexity, improve the retinal image quality and achieves high objective parameters values for ultra-low bitrate compared to the conventional methods.

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Visually Lossless Compression of Retina Images

Cited by 11 publications

References 10 publications

Graduating Mortality Rates by Mixture of Pareto, Loglogistic, and Two Weibull Distributions using Bayesian Method

Graduating Mortality Rates by Mixture of Pareto, Loglogistic, and Two Weibull Distributions using Bayesian Method

A Fast Method of Visually Lossless Compression of Dental Images

Ultra low bitrate retinal image compression using integer lifting scheme and subband encoder

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