Netravali, A. N., and B. Prasada, "Adaptive Quantization of Picture Signals using Spatial Masking," Proc. IEEE, Vol. 65, No. 4, April 1977, p. 536.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....distortion measure in the visual domain, one minimizes the perceptual distortions introduced by the coder. Another class of algorithms attempts to reduce the perceptual distortions by weighting different components in an image based on the response of the human visual system to such components [6, 7, 8]. One example of such a system is described in [6] in which the distortions of blocks with edge patterns are weighted differently from the distortions of blocks with shade patterns or more uniform patterns. A second example weights the distortions in the signal components of the different bands of ....

.... weights the distortions in the signal components of the different bands of a subband or transform coder on the basis of the response of the HVS to different frequency components [7] A third example weights the distortions in different blocks of an image on the basis of the activity in each block [8]. The last class of perceptually tuned coders discussed in this paper uses a model of the perceptual threshold function (PTF) 9, 10, 11, 12, 13] A perceptual threshold function predicts whether a particular component of the image is visible. If this component is visible, the PTF further predicts ....

A. N. Netravali and B. Prasada, "Adaptive quantization of picture signals using spatial masking, " Proc. IEEE, vol. 65, no. 4, pp. 536-548, Apr. 1977.

....distortion introduced in the image during the coding process. An example involves image compression using perceptual threshold functions [1] Perceptual threshold functions for images define the amount of distortion that can be introduced into the images without being detected by human observers [2], 3] 4] 5] 6] An image compression system that constrains the quantization errors to be below the perceptual threshold function provides perceptually lossless coded images. The objective of this paper is to present a vector quantizer that constrains all of the quantization errors in a ....

A. N. Netravali and B. Prasada, "Adaptive quantization of picture signals using spatial masking," Proc. IEEE, Vol. 65, pp. 536-548, April 1977.

....distortion introduced in the image during the coding process. An example involves image compression using perceptual threshold functions [1] Perceptual threshold functions for images define the amount of distortion that can be introduced into the images without being detected by human observers [2], 3] 4] An image compression system that constrains the quantization errors to below the perceptual threshold values is perceptually lossless. One way in which we can constrain the maximum value of the quantization errors in a vector quantizer system is to employ the L1 distortion measure in ....

A. N. Netravali and B. Prasada, "Adaptive quantization of picture signals using spatial masking," Proc. IEEE, Vol. 65, pp. 536-548, April 1977.

No context found.

Netravali, A. N., and B. Prasada, "Adaptive Quantization of Picture Signals using Spatial Masking," Proc. IEEE, Vol. 65, No. 4, April 1977, p. 536.

No context found.

Netravali, A.N., and B. Prasada, Adaptive Quantization of Picture Signals Using Spatial Masking. Proc. IEEE 65 53G-548 (1977).

No context found.

A. N. Netravali and B Prasada, "Adaptive quantization of picture signals using spatial masking," Proc. IEEE, vol. 65, pp. 536-548, 1977.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC