Quality Degradation in Lossy Wavelet Image Compression

Chen, Tzong Jer; Chuang, Keh Shih; Wu, Jen-Ming; Chen, Sharon Chia-Ju; Hwang, Ing Ming; Jan, Meei Ling

doi:10.1007/s10278-003-1652-0

Cited by 19 publications

(16 citation statements)

References 21 publications

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“…5,20Y22 The blocking artifacts from the JPEG algorithm were not considered by these metrics. 22 Recently, Wang et al 20 and Chen et al 5,21,23,24 suggested evaluating image quality from a local region instead of using pixels. They proposed estimating image spatial information from a local region with an 8 Â 8 20 and a 9 Â 9 21,23,24 window size instead of from pixels.…”

Section: Introductionmentioning

confidence: 99%

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Quality of Compressed Medical Images

Shiao¹,

Chen²,

Chuang

et al. 2007

J Digit Imaging

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Previous studies have shown that Joint Photographic Experts Group (JPEG) 2000 compression is better than JPEG at higher compression ratio levels. However, some findings revealed that this is not valid at lower levels. In this study, the qualities of compressed medical images in these ratio areas ( approximately 20), including computed radiography, computed tomography head and body, mammographic, and magnetic resonance T1 and T2 images, were estimated using both a pixel-based (peak signal to noise ratio) and two 8 x 8 window-based [Q index and Moran peak ratio (MPR)] metrics. To diminish the effects of blocking artifacts from JPEG, jump windows were used in both window-based metrics. Comparing the image quality indices between jump and sliding windows, the results showed that blocking artifacts were produced from JPEG compression, even at low compression ratios. However, even after the blocking artifacts were omitted in JPEG compressed images, JPEG2000 outperformed JPEG at low compression levels. We found in this study that the image contrast and the average gray level play important roles in image compression and quality evaluation. There were drawbacks in all metrics that we used. In the future, the image gray level and contrast effect should be considered in developing new objective metrics.

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Section: Introductionmentioning

confidence: 99%

“…20 The Moran statistic suggested by Chen et al proved to be a good index for determining the smoothness or sharpness of an image. 5,21,23,24 These metrics can be called window-based metrics.…”

Section: Introductionmentioning

confidence: 99%

Quality of Compressed Medical Images

Shiao¹,

Chen²,

Chuang

et al. 2007

J Digit Imaging

Self Cite

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“…Since human visual systems are highly adapted to extract structural information from the viewing area, subjective assessment is considered as the best way to evaluate images to be viewed by human beings. However, in practice, subjective evaluation is less preferable than objective approaches because the solution tends to be inconsistent, inconvenient and time consuming (Chen et al 2003), especially for hypercube that contains hundreds of band images. Besides, it is meaningless to compare a single band of the hyperspectral imagery because it is not typically observed by human viewers.…”

Section: Evaluation Criteriamentioning

confidence: 99%

Effective compression of hyperspectral imagery using an improved 3D DCT approach for land-cover analysis in remote-sensing applications

Qiao

Ren

Sun

et al. 2014

International Journal of Remote Sensing

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This version is available at https://strathprints.strath.ac.uk/50084/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. Effective compression of hyperspectral imagery using an improved 3DDCT approach for land cover analysis in remote sensing applications Effective compression of hyperspectral imagery using an improved 3D DCT approach for land cover analysis in remote sensing applicationsAlthough hyperspectral imagery (HSI), which has been applied in a wide range of applications, suffers from very large volumes of data, its uncompressed representation is still preferred to avoid compression loss for accurate data analysis. In this paper, we focus on quality-assured lossy compression of HSI,where the accuracy of analysis from decoded data is taken as a key criterion to

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“…Since two dimensional DWT (2D DWT) can decompose the image in several directions, the vessel details in different orientations can also be studied. However in the course of processing, changes may arbitrarily distort the blood vessels such as, smoothing of blood vessels in case of lossy image compression [23]. Any changes in the retinal blood vessels need to be quantified for diagnostic analysis of retinopathy diseases.…”

Section: Discrete Wavelet Transform (Dwt) Based Image Quality Measurementioning

confidence: 99%

Performance Evaluation of Distortion Measures for Retinal Images

Nirmala¹,

Dandapat²,

Bora³

2011

IJCA

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Evaluating the quality of processed retinal images is an important issue in applications such as telemedicine. The traditional image quality measures are having limitation in emphasizing the loss of clinically significant information. We previously proposed a wavelet weighted blood vessel distortion measure (WBVDM) for retinal images. The WBVDM gives more importance to the distortion in clinical features (blood vessels) and less importance to the clinically nonsignificant distortion. This paper presents a statistical evaluation of the performance of a number of image quality measures in quantifying the distortion in retinal images. The measures are then investigated in terms of their correlation with subjective evaluation using the Pearson linear correlation coefficient (PLCC) and Spearman rank order correlation coefficient (SROCC). Their statistical behavior is also evaluated in terms of how discriminating they are to distortion artifacts when tested on a variety of images using the analysis of variance (ANOVA) method. The experimental results indicate that WBVDM performs better by showing higher values of PLCC, SROCC and ANOVA analysis. General TermsMedical image analysis

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Quality Degradation in Lossy Wavelet Image Compression

Cited by 19 publications

References 21 publications

Quality of Compressed Medical Images

Quality of Compressed Medical Images

Effective compression of hyperspectral imagery using an improved 3D DCT approach for land-cover analysis in remote-sensing applications

Performance Evaluation of Distortion Measures for Retinal Images

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