Applications Of Physiological Human Visual System Model To Image Compression

Tzou, Kou-Hu; Hsing, T.R.; Dunham, J.G.

doi:10.1117/12.944891

Cited by 15 publications

(5 citation statements)

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“…a) Perceptual redundancies: The imperfections and the inconsistency in sensitivity inherent to the human visual system (HVS) allow for "perceptual redundancies." Psychovision studies [14] indicate that the visibility threshold of a particular stimulus depends on many factors. There are primarily two major factors that affect the error visibility threshold of each pixel.…”

Section: B Watermark Embedding Algorithmmentioning

confidence: 99%

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Digital image watermarking using balanced multiwavelets

Ghouti

Bouridane

Ibrahim

et al. 2006

IEEE Trans. Signal Process.

156

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In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. The latter transform achieves simultaneous orthogonality and symmetry without requiring any input prefiltering. Therefore, considerable reduction in computational complexity is possible, making this transform a good candidate for real-time watermarking implementations such as audio broadcast monitoring and DVD video watermarking. The embedding scheme is image adaptive using a modified version of a well-established perceptual model. Therefore, the strength of the embedded watermark is controlled according to the local properties of the host image. This has been achieved by the proposed perceptual model, which is only dependent on the image activity and is not dependent on the multifilter sets used, unlike those developed for scalar wavelets. This adaptivity is a key factor for achieving the imperceptibility requirement often encountered in watermarking applications. In addition, the watermark embedding scheme is based on the principles of spread-spectrum communications to achieve higher watermark robustness. The optimal bounds for the embedding capacity are derived using a statistical model for balanced multiwavelet coefficients of the host image. The statistical model is based on a generalized Gaussian distribution. Limits of data hiding capacity clearly show that balanced multiwavelets provide higher watermarking rates. This increase could also be exploited as a side channel for embedding watermark synchronization recovery data. Finally, the analytical expressions are contrasted with experimental results where the robustness of the proposed watermarking system is evaluated against standard watermarking attacks.

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Section: B Watermark Embedding Algorithmmentioning

confidence: 99%

“…Using the weights defined in (14), the maximum weighted average of luminance differences is given by the following expression: (15) where (16) …”

Section: B Watermark Embedding Algorithmmentioning

confidence: 99%

Digital image watermarking using balanced multiwavelets

Ghouti

Bouridane

Ibrahim

et al. 2006

IEEE Trans. Signal Process.

156

View full text Add to dashboard Cite

show abstract

“…Psychovision studies [10] indicate that the visibility threshold of a particular stimulus depends on many factors. There are primarily two major factors that affect the error visibility threshold of each pixel 2.…”

Section: A Perceptual Redundanciesmentioning

confidence: 99%

Towards a Universal Multiresolution-Based Perceptual Model

Ghouti

Bouridane

2006

2006 International Conference on Image Processing

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Following a recently introduced perceptual model for balanced multiwavelets, we outline, in this paper, an extension of our previous work and propose a new perceptual model for scalar wavelets. The proposed model is derived using multiresolution domain extensions of our previous scheme. Unlike existing models, the proposed one depends only on the image activity and not the filter sets used by the transform. The perceptual redundancy, present in the image, is efficiently quantified through a just-noticeable distortion (JND) profile. In this model, a visibility threshold of distortion is assigned to each wavelet subband coefficient. Therefore, perceptually insignificant subband components can be clearly discriminated from perceptually significant ones. For instance, this discrimination can be constructively used to achieve the imperceptibility requirement often encountered in watermarking and data hiding applications. Furthermore, we illustrate, through simulation, the ability of the proposed model to efficiently capture the salient features of the underlying image regardless of the wavelet filters being used.

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“…(11) and (15). 14 The two-dimensional case is just an extension of these ' ' results, since the transform is separable. We are interested in weights , (i,j) E iJ, which can be derived from =JJIHD(e1, e°2)I2 ITOO where X F(e°1, efb2)12 do.1 dt2 , (17) HD(e°1, ei°2) = HD(e32'1, eJ22) H(fp/fmax) …”

Section: Pit With the Chen-smith Codermentioning

confidence: 99%

Human visual sensitivity-weighted progressive image transmission using the lapped orthogonal transform

Queiroz

Rao

1992

J. Electron. Imaging

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Progressive transmission of images based on the lapped orthogonal transform (LOT), adaptive classification, and human visual sensitivity (HVS) weighting is proposed. HVS weighting for LOT basis functions is developed. This technique is quite general and can be applied to any orthogonal transform. The method is compared with discrete cosine transform (DCT)-based progressive image transmission (PIT). It is shown that LOT-based PIT yields subjectively improved images compared to those based on DCT. This is consistent with the reduction in block structure characteristic of LOT image coding.

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Applications Of Physiological Human Visual System Model To Image Compression

Cited by 15 publications

References 0 publications

Digital image watermarking using balanced multiwavelets

Digital image watermarking using balanced multiwavelets

Towards a Universal Multiresolution-Based Perceptual Model

Human visual sensitivity-weighted progressive image transmission using the lapped orthogonal transform

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