The JPEG 2000 still image compression standard

Skodras, Athanassios; Christopoulos, C.; Ebrahimi, Touradj

doi:10.1109/79.952804

Cited by 1,402 publications

(649 citation statements)

References 51 publications

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“…Target applications include video surveillance system preserving privacy [6], anonymous Internet video chat or video telephony [7], or TV news protecting the anonymity of an informant. We consider two video coding schemes: Motion JPEG 2000 [8][9] and MPEG-4 [10].…”

Section: Introductionmentioning

confidence: 99%

Region-based transform-domain video scrambling

Dufaux¹,

Ebrahimi

2006

SPIE Proceedings

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In this paper, we address the problem of scrambling regions of interest in a video sequence. We target applications such as video surveillance preserving privacy, anonymous video communications, or TV news safeguarding the anonymity of a source. We propose an efficient solution based on transform-domain scrambling. More specifically, the sign of selected transform coefficients is flipped during encoding. We address the two cases of Motion JPEG 2000 and MPEG-4. Simulation results show that it can be successfully applied to conceal information in regions of interest in the scene while providing with a good level of security. Furthermore, the scrambling is flexible and allows adjusting the amount of distortion introduced. Finally, this is achieved with a small impact on coding performance and negligible computational complexity increase.

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Section: Introductionmentioning

confidence: 99%

Region-based transform-domain video scrambling

Dufaux¹,

Ebrahimi

2006

SPIE Proceedings

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“…In this spirit, there has been a strong demand for a security solution JPEG2000 images. To meet this demand, the JPEG [1][2] committee has created an extension of the JPEG2000 [3][4] encoder by integrating security tools such as integrity verification, encryption and scrambling. This extension is part 8 of standard JPEG2000 coder (JPEG2000 Part 8) designated by JPSEC.…”

Section: Overviewmentioning

confidence: 99%

Secure High Dynamic Range Images

Touil¹,

Ellouze²

2016

ijacsa

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Abstract-In this paper, a tone mapping algorithm is proposed to produce LDR (Limited Dynamic Range) images from HDR (High Dynamic Range) images. In the approach, nonlinear functions are applied to compress the dynamic range of HDR images. Security tools will be then applied to the resulting LDR images and their effectiveness will be tested on the reconstructed HDR images. Three specific examples of security tools are described in more details: integrity verification using hash function to compute local digital signatures, encryption for confidentiality, and scrambling technique.

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“…The default irreversible transform for image decomposition is implemented by means of the Daubechies nine-tap/seven-tap filter, proposed also by the JPEG2000 standard [26]. The transform coefficients are quantized and entropy coded by means of entropy-logarithmic scale arithmetic coder, which operates in a similar way to embedded zerotree wavelet [27] coder.…”

Section: Compression Algorithmmentioning

confidence: 99%

Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms

et al. 2012

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The current study presents a quantitative approach towards visually lossless compression ratio (CR) threshold determination of JPEG2000 in digitized mammograms. This is achieved by identifying quantitative image quality metrics that reflect radiologists' visual perception in distinguishing between original and wavelet-compressed mammographic regions of interest containing microcalcification clusters (MCs) and normal parenchyma, originating from 68 images from the Digital Database for Screening Mammography. Specifically, image quality of waveletcompressed mammograms (CRs, 10:1, 25:1, 40:1, 70:1, 100:1) is evaluated quantitatively by means of eight image quality metrics of different computational principles and qualitatively by three radiologists employing a five-point rating scale. The accuracy of the objective metrics is investigated in terms of (1) their correlation (r) with qualitative assessment and (2) ROC analysis (A z index), employing pooled radiologists' rating scores as ground truth. The quantitative metrics mean square error, mean absolute error, peak signal-to-noise ratio, and structural similarity demonstrated strong correlation with pooled radiologists' ratings (r, 0.825, 0.823, −0.825, and −0.826, respectively) and the highest area under ROC curve (A z , 0.922, 0.920, 0.922, and 0.922, respectively). For each quantitative metric, the highest accuracy values of corresponding ROC curves were used to define metric cut-off values. The metrics cut-off values were subsequently used to suggest a visually lossless CR threshold, estimated to be between 25:1 and 40:1 for the dataset analyzed. Results indicate the potential of the quantitative metrics approach in predicting visually lossless CRs in case of MCs in mammography.

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The JPEG 2000 still image compression standard

Cited by 1,402 publications

References 51 publications

Region-based transform-domain video scrambling

Region-based transform-domain video scrambling

Secure High Dynamic Range Images

Quantitative Visually Lossless Compression Ratio Determination of JPEG2000 in Digitized Mammograms

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