Adaptive quantization of picture signals using spatial masking

Netravali, Arun N.; Prasada, B.

doi:10.1109/proc.1977.10515

Cited by 155 publications

(30 citation statements)

References 25 publications

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“…Theirs and subsequent work has provided a bewildering variety of candidate measures of image quality or distortion [40,55,32,34,42,41,37,63,58,67,53,7,17,20,4,5,16,25,44,43,29,3,19,33,27]. Similar studies have been carried out for speech compression and other digital speech processing [49].…”

Section: Average Distortion and Snrmentioning

confidence: 93%

Quality Evaluation for Compressed Medical Images: Fundamentals

Cosman

1994

Handbook of Medical Image Processing and Analysis

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Section: Average Distortion and Snrmentioning

confidence: 93%

Quality Evaluation for Compressed Medical Images: Fundamentals

Cosman

1994

Handbook of Medical Image Processing and Analysis

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“…Since the contrast-sensitivity function of the human visual system is roughly isotropic (rotation-invariant) [19], [20] and the visual sensitivity of human observers decreases symmetrically at and on both sides of luminance changes [21], the synthesis filters should be linear phase filters.…”

Section: A Constraints On the Filters 1) Coding-efficiency Related Cmentioning

confidence: 99%

Design of orthogonal and biorthogonal lapped transforms satisfying perception related constraints

Bölcskei

Heusdens

Theunis³

et al. 2000

IEEE Trans. on Image Process.

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. (2000). Design of orthogonal and biorthogonal lapped transforms satisfying perception related constraints. IEEE Transactions on Image Processing, 9(5), 760-772. DOI: 10.1109/83.841513 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract-We propose a new efficient method for the design of orthogonal and biorthogonal lapped transforms for image coding applications. It is shown how perception related constraints such as decay and smoothness of the filters' impulse responses can be incorporated in the optimization procedure. A decomposition of lapped transforms (orthogonal and biorthogonal) with 50% overlap leads to an efficient recursive optimization procedure, which is robust with respect to initial solutions. The importance of this decomposition lies in the fact that it allows to decouple the design of the even-symmetric and the odd-symmetric filters and hence drastically reduces the number of variables to be optimized. It furthermore reveals all the variables predetermined by perception related and coding-efficiency related constraints imposed on the filters. We present design and coding examples demonstrating the perceptual performance and the rate-distortion performance of the resulting transforms.

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“…where H denotes the visual sensitivity matrix of the orthogonal transform coefficients (m, n); and h 1 V First, regarding the noise sensitivity function h 1 , in earlier studies [14,15] it was used for application to quantization control by DPCM. On the other hand, in image encoding with the orthogonal transform for motion compensation that is the target of the current system, it is necessary to consider the noise masking effect in block units, and we decided to use the following formula published in Ref.…”

Section: Weighting By Local Visual Perception Characteristicsmentioning

confidence: 99%

Development of a digital compressed picture quality assessment system considering human visual perception

2000

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At present, quality assessment of image codecs is performed exclusively by subjective assessment tests. However, these assessment tests not only are extremely labor and time consuming but also have limitations in that they do not allow real‐time assessment. The authors have developed an image quality assessment system to enable accurate assessment of image codecs. This system involves computing the encoding error values between the synchronized original image and the encoded/reproduced image, weighting them by visual perception characteristics, and outputting the quality assessment values in real time. The authors were able to obtain a significant improvement of assessment accuracy by performing another weighting with consideration of the observation point scattering on the screen, which was used as a visual perception characteristic, in addition to such characteristics as the visual perception sensitivity in the local spatial frequency direction, and the noise masking effect. It was confirmed by comparison with subjective assessment tests that the current assessment system allows practically problem‐free quality assessment. © 2000 Scripta Technica, Syst Comp Jpn, 31(5): 97–109, 2000

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Adaptive quantization of picture signals using spatial masking

Cited by 155 publications

References 25 publications

Quality Evaluation for Compressed Medical Images: Fundamentals

Quality Evaluation for Compressed Medical Images: Fundamentals

Design of orthogonal and biorthogonal lapped transforms satisfying perception related constraints

Development of a digital compressed picture quality assessment system considering human visual perception

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