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Visibility of Wavelet Quantization Noise
, 1996
"... The Discrete Wavelet Transform (DWT) decomposes an image into bands that vary in spatial frequency and orientation. It is widely used for image compression. Measures of the visibility of DWT quantization errors are required to achieve optimal compression. Uniform quantization of a single band of coe ..."
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Cited by 145 (1 self)
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of coefficients results in an artifact that we call DWT uniform quantization noise; it is the sum of a lattice of random amplitude basis functions of the corresponding DWT synthesis filter. We measured visual detection thresholds for samples of DWT uniform quantization noise in Y, Cb, and Cr color channels
CORRELATION PROPERTIES OF QUANTIZATION NOISE
"... This paper examines the correlation properties of quantization noise. The quantization noise energy is subtractive if the quantizer output levels are optimized for the probability density of the input signal (pdf optimized). This paper gives a new result that shows that a quantizer (uniform or not) ..."
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This paper examines the correlation properties of quantization noise. The quantization noise energy is subtractive if the quantizer output levels are optimized for the probability density of the input signal (pdf optimized). This paper gives a new result that shows that a quantizer (uniform or not
Quantization
 IEEE TRANS. INFORM. THEORY
, 1998
"... The history of the theory and practice of quantization dates to 1948, although similar ideas had appeared in the literature as long ago as 1898. The fundamental role of quantization in modulation and analogtodigital conversion was first recognized during the early development of pulsecode modula ..."
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Cited by 877 (12 self)
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modulation systems, especially in the 1948 paper of Oliver, Pierce, and Shannon. Also in 1948, Bennett published the first highresolution analysis of quantization and an exact analysis of quantization noise for Gaussian processes, and Shannon published the beginnings of rate distortion theory, which would
EVLA Memo. 88 Quantization Noise
, 2005
"... In receiving systems in which the analog signal voltage is sampled and quantized to allow further processing in digital form, the difference between the analog samples and their digital representation gives rise to a component of random quantization noise. The power spectrum of the quantization nois ..."
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In receiving systems in which the analog signal voltage is sampled and quantized to allow further processing in digital form, the difference between the analog samples and their digital representation gives rise to a component of random quantization noise. The power spectrum of the quantization
The Visibility of DCT Quantization Noise
 Digest of Technical Papers, Society for Information Display, Playa
, 1993
"... any standard image compression techniques i apply the Discrete Cosine Transform (DCT) to the mage, then quantize the resulting transform coefficients. b For optimal compression, the DCT coefficients should e quantized as coarsely as possible, while allowing . Q minimal visible distortion in the deco ..."
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Cited by 5 (2 self)
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any standard image compression techniques i apply the Discrete Cosine Transform (DCT) to the mage, then quantize the resulting transform coefficients. b For optimal compression, the DCT coefficients should e quantized as coarsely as possible, while allowing . Q minimal visible distortion
QUANTIZATION NOISE ESTIMATION FOR LOGPCM
"... ITUT G.711.1 is a multirate wideband extension for the wellknown ITUT G.711 pulse code modulation of voice frequencies. The extended system is fully interoperable with the legacy narrowband one. In the case where the legacy G.711 is used to code a speech signal and G.711.1 is used to decode it, qu ..."
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, quantization noise may be audible. For this situation, the standard proposes an optional postfilter. The application of postfiltering requires an estimation of the quatization noise. In this paper we review the process of estimating this coding noise and we propose a better noise estimator. Index Terms
DCT quantization noise in compressed images
 in Proc. Int. Conf. Image Process
, 2001
"... In lossy image compression schemes utilizing the discrete cosine transform (DCT), quantization of the DCT coefficients introduces error in the image representation and a loss of signal information. At high compression ratios, this introduced error produces visually undesirable compression artifacts ..."
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Cited by 26 (0 self)
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that can dramatically lower the perceived quality of a particular image. This paper provides a spatial domain model of the quantization error based on a statistical noise model of the error introduced when quantizing the DCT coefficients. The resulting theoretically derived spatial domain quantization
Relationship between sampling rate and quantization noise
"... Abstract. Few works have been done about the dependency of the quantization noise with the sampling rate for uniform quantizers. Some of these works have considered the problem from a determinis tic point of view while others study it from a stochastic one, having explained the noise behavior in so ..."
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Abstract. Few works have been done about the dependency of the quantization noise with the sampling rate for uniform quantizers. Some of these works have considered the problem from a determinis tic point of view while others study it from a stochastic one, having explained the noise behavior
DAC QuantizationNoise Cancellation in an EchoCanceling Transceiver *
"... Copyright IEEE 2007. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending an email to pubspermissions@ieee.org. Abstract — Data converters, in particular the transmit digitaltoanalog converter (DAC), s ..."
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), should not limit performance in a digitalcommunication transceiver. Typically, the number of DAC bits is chosen to be large enough so that the effect of DAC quantization noise on the local receiver is negligibly small. As described in this paper, the DAC quantization noise can be cancelled in a echo
I. QUANTIZER NOISE BENEFITS IN PARALLEL THRESHOLD ARRAYS
"... Abstract—A new theorem shows that additive quantizer noise decreases the meansquared error of thresholdarray optimal and suboptimal linear estimators. The initial rate of this noise benefit improves as the number of threshold sensors or quantizers increases. The array sums the outputs of identical ..."
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Abstract—A new theorem shows that additive quantizer noise decreases the meansquared error of thresholdarray optimal and suboptimal linear estimators. The initial rate of this noise benefit improves as the number of threshold sensors or quantizers increases. The array sums the outputs
Results 1  10
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