Design and evaluation of perceptual masks for wavelet image compression

Beegan, Andrew P.; Iyer, L.R.; Bell, Alex; Maher, V.R.; Ross, M.

doi:10.1109/dspws.2002.1231082

Cited by 23 publications

(6 citation statements)

References 6 publications

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“…Of the existing nearly-orthogonal wavelet filters, two higherorder filters, namely, the BNC 17/11 (odd-length symmetric) [3] and BNC 22/14 (even-length asymmetric) [4] are chosen. The previously used masking filter is DWT based, i.e., the masking factors are obtained from the DWTtransformed CSF model curve [5]. In this paper, using the Mannos and Sakrison's contrast sensitivity model [6] for the HVS, a peak-average contrast masker, is derived with the intent of enhancing the visual quality of the reconstructed image.…”

Section: A Proposed Schemementioning

confidence: 99%

Masked nearly-orthogonal wavelet-based image compression and its application to medical imaging

Sugavaneswaran¹,

Swamy²,

Wang³

2007

2007 50th Midwest Symposium on Circuits and Systems

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A perceptual non-expansive image compression scheme using the nearly-orthogonal wavelets is presented in this paper. The proposed approach differs from the conventional design scheme by incorporating the human visual system characteristics directly in each sub-band of the wavelet decomposed image. The enhancement in the visual quality of the reconstructed image is achieved by using the proposed contrast sensitivity function masking at each decomposition level during wavelet transformation phase in the compression system. The recently explored biorthogonal nearly coiflet wavelet is used to achieve an improvement in the compression performance for low and medium bit rate applications. Extensive simulations are carried out using the proposed approach and the results compared with those of some of the existing techniques.

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Section: A Proposed Schemementioning

confidence: 99%

Masked nearly-orthogonal wavelet-based image compression and its application to medical imaging

Sugavaneswaran¹,

Swamy²,

Wang³

2007

2007 50th Midwest Symposium on Circuits and Systems

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“…According to the CSF curve, we can see that the HVS is most sensitive to normalized spatial frequencies between 0.025 and 0.125 and less sensitive to low and high frequencies. CSF masking [3,16] is one way to apply the CSF in the discrete wavelet domain. CSF masking refers to the method of weighting the wavelet coefficients relative to their perceptual importance.…”

Section: Csf (Contrast Sensitive Function)mentioning

confidence: 99%

A visible wavelet watermarking technique based on exploiting the contrast sensitivity function and noise reduction of human vision system

Tsai¹,

Liu²,

Yin³

et al. 2013

Multimed Tools Appl

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Aims and scopeMultimedia Tools and Applications publishes original research articles on multimedia development and system support tools, and case studies of multimedia applications. Experimental and survey articles are appropriate for the journal. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed.

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“…As the standard of scalar quantity, Kim [6] thinks over visual frequency sensitivity and calculated visual coefficient of each sub-band. Among the existing visual models, Mannos [7] and Sakrison's model is comparatively successful: x f and y f are the spatial frequencies in the horizontal and vertical directions respectively. We normalize the spatial frequency with the following relation: f has a range between 0 and 0.5.…”

Section: Universal Image Quality Indexmentioning

confidence: 99%

A fast image compression algorithm based on SPIHT

Jia

Guo

2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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The combination of integer lifting wavelet transform with set partitioning in hierarchical trees algorithm has been widely used in the field of image compression. Based on this algorithm, the paper presents a image coding algorithm with lower memory and higher speed. The algorithm further takes Human Visual System into consideration and modifies SPIHT algorithm is according to the characteristic of weighted wavelet coefficients. Experiment result shows that, under the situation of low bit-rate, the new algorithm can prove the visual effect of reconstructed image at a certain degree. In addition, because the new algorithm has low memory requirement, the coding speed accelerates a lot. It has a very broad appliance future in the occasion of high desire of memory and speed.

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Design and evaluation of perceptual masks for wavelet image compression

Cited by 23 publications

References 6 publications

Masked nearly-orthogonal wavelet-based image compression and its application to medical imaging

Masked nearly-orthogonal wavelet-based image compression and its application to medical imaging

A visible wavelet watermarking technique based on exploiting the contrast sensitivity function and noise reduction of human vision system

A fast image compression algorithm based on SPIHT

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