Subjective evaluation of PCM noise-feedback coder for television

Brainard, R. C.

doi:10.1109/proc.1967.5491

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…From (11) and (13), each qi reduces the mean square noise by 1/2. Assuming the two output noises are uncorrelated, the output noise variance is the same as the channel noise variances.…”

Section: (13)mentioning

confidence: 99%

<title>Image Coders With Semi-Definite And Definite Decoders</title>

Marshall

1979

Applications of Digital Image Processing III

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The special class of convolutional, or nonblock, coding systems which employ both FIR encoders and FIR decoders, or definite decoders, is proposed for real -time processing of sampled data.Fully definite multi-dimensional systems and partially definite, i.e. definite in some dimensions but not in others, are seen to exist.Since such a coding system is necessarily a multi -channel system, for signals of any dimension, some of the properties of multi -channel systems are considered as well as their applications. It is seen that convolutional coders incorporating definite decoders can do several desirable things, normally associated only with block coders, such as noncausal coding; and, in addition, traditional applications of single channel convolutional coders, such as linear prediction and estimation, are also possible in multi -channel systems.Color television image coding is seen to be a natural application for multi -channel coding because of the inherent separation of luminance and chrominance into separate channels. An important property of definite coding systems affecting the economy of 2 and 3 dimensional processing systems, which are used for bandwidth compression, is that the decoder uses only the compressed data, thereby significantly reducing the memory requirements for storage of data corresponding to previous lines and frames. Examples are presented of definite systems which separate color signals into their components, noncausal coders, doders which reduce the visability of noise bursts, and linear predictors with feedback quantizers.

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“…From (11) and (13), each qi reduces the mean square noise by 1/2. Assuming the two output noises are uncorrelated, the output noise variance is the same as the channel noise variances.…”

Section: (13)mentioning

confidence: 99%

<title>Image Coders With Semi-Definite And Definite Decoders</title>

Marshall

1979

Applications of Digital Image Processing III

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“…If a loss factor j8 < 1 is introduced into the delay section then equation (13) is modified to give (14) Past history is weighted giving greater importance to the more recent samples. In practice, the feedback network in the Piciurephone codec is replaced by an analog network which consists of an integrator, F, with leak (see Fig.…”

Section: Qtumtizing Noiaementioning

confidence: 99%

Digital Encoding of the Video Signal

Millard¹,

Maunsell²

1971

Bell System Technical Journal

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Methods for Designing Differential Quantizers Based on Subjective Evaluations of Edge Busyness

Candy¹,

Bosworth²

1972

Bell System Technical Journal

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This is a study of the visibility of television noise and its dependence on the instantaneous rate of change of the video signal. Noise added to a picture tends to be least noticeable in regions where the brightness changes rapidly, but the relationship between visibility‐of‐noise and slope‐of‐the signal is dependent on the scene being displayed. Measurements are presented for four different scenes, and these data are used to design companding laws that minimize the visibility of noise from Differential Quantizers. The designs agree with those that have been satisfactory in practical applications.

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Subjective evaluation of PCM noise-feedback coder for television

Cited by 10 publications

References 7 publications

<title>Image Coders With Semi-Definite And Definite Decoders</title>

<title>Image Coders With Semi-Definite And Definite Decoders</title>

Digital Encoding of the Video Signal

Methods for Designing Differential Quantizers Based on Subjective Evaluations of Edge Busyness

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