TY - GEN
T1 - Performance evaluation of progressive image transmission techniques
AU - Mattaparthi, R.
AU - Panchanathan, Sethuraman
AU - Goldberg, M.
PY - 1991/1/1
Y1 - 1991/1/1
N2 - Progressive image transmission is receiving attention for application in interactive image communication over low-bandwidth channels, In progressive image transmission (PIT), a low resolution image is first transmitted, this is later progressively improved by further transmissions until the received image is reasonably a good representation of the original image. In this paper, we present a comparative performance evaluation of four PIT techniques based on vector quantization (VQ) namely: PIT by residual error VQ in spatial domain (RVQ-SPA), and in transform domain (RVQ-TRA), multistage VQ by optimum bit allocation (MVQ-OBA), and VQ on images in quadtree form (VQ-QT). In VQSPA, VQ is applied on the residual errors in spatial domain. The residual error image is generated by taking the difference between the original image and coded image. A fraction of the image information is transmitted, which is utilized in the reconstruction of the image. In the next technique, VQ is applied on the residua] errors in the transform domain. In MVQ-OBA, VQ is applied on the transform coefficients in sach a way that the total number of bits allocated to each coefficient is proportional to the coefficient variance-, In the last technique the image to be transmitted is first decomposed into a quadtree data structure, VQ is then applied to the difference quadtree (VQ-QT). Our simulation results demonstrate that all the four techniques, exhibit very good coding performance at low bit rates. Here, PIT using discrete cosine transform (OCT) is used as the baseline.
AB - Progressive image transmission is receiving attention for application in interactive image communication over low-bandwidth channels, In progressive image transmission (PIT), a low resolution image is first transmitted, this is later progressively improved by further transmissions until the received image is reasonably a good representation of the original image. In this paper, we present a comparative performance evaluation of four PIT techniques based on vector quantization (VQ) namely: PIT by residual error VQ in spatial domain (RVQ-SPA), and in transform domain (RVQ-TRA), multistage VQ by optimum bit allocation (MVQ-OBA), and VQ on images in quadtree form (VQ-QT). In VQSPA, VQ is applied on the residual errors in spatial domain. The residual error image is generated by taking the difference between the original image and coded image. A fraction of the image information is transmitted, which is utilized in the reconstruction of the image. In the next technique, VQ is applied on the residua] errors in the transform domain. In MVQ-OBA, VQ is applied on the transform coefficients in sach a way that the total number of bits allocated to each coefficient is proportional to the coefficient variance-, In the last technique the image to be transmitted is first decomposed into a quadtree data structure, VQ is then applied to the difference quadtree (VQ-QT). Our simulation results demonstrate that all the four techniques, exhibit very good coding performance at low bit rates. Here, PIT using discrete cosine transform (OCT) is used as the baseline.
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U2 - 10.1109/TENCON.1991.753909
DO - 10.1109/TENCON.1991.753909
M3 - Conference contribution
AN - SCOPUS:85068723644
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 405
EP - 409
BT - Computer and Communication
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1991 IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, TENCON 1991
Y2 - 28 August 1991 through 30 August 1991
ER -