Zobrazeno 1 - 10
of 110
pro vyhledávání: '"J. Polec"'
Autor:
Z. Tothova, J. Polec
Publikováno v:
Radioengineering, Vol 19, Iss 2, Pp 331-337 (2010)
There are many error concealment techniques for image processing. In the paper, the focus is on restoration of image with missing blocks or macroblocks. Different methods can be optimal for different kinds of images. In recent years, great attention
Externí odkaz:
https://doaj.org/article/95eb1777c6ce45ff86187ea999a531c7
Publikováno v:
Radioengineering, Vol 16, Iss 2, Pp 67-70 (2007)
In this paper a scheme for utilizing shape independent basis functions for a hierarchical multiresolution image compression is shown. First, an image is segmented and its segments' boundaries are polygon approximated, thus achieving an image mask. Se
Externí odkaz:
https://doaj.org/article/c510976eb7d2418085ce3f3747dd19d2
Publikováno v:
Radioengineering, Vol 16, Iss 2, Pp 71-76 (2007)
The submitted paper deals with separate scanning of individual image segments. A new image processing approach based on image segmentation and segment scanning is presented. The resulting individual segments 1-dimensional representation provides high
Externí odkaz:
https://doaj.org/article/c8f99bbae7a745178fbe6d10fd715b90
Publikováno v:
Radioengineering, Vol 15, Iss 2, Pp 30-36 (2006)
In this paper, a novel adaptive error concealment (EC) algorithm, which lowers the requirements for channel coding, is proposed. It conceals errors in block-based image coding systems by using neural network. In this proposed algorithm, only the intr
Externí odkaz:
https://doaj.org/article/aa0afbe9709449b08cdd5d10f3c6d2a1
Publikováno v:
Radioengineering, Vol 12, Iss 3, Pp 42-45 (2003)
Our approach to image region approximation offers a complete schemeconsisting of several steps. We separate the encoding of regionboundaries from the texture description. The original image is firstsegmented using an unsupervised segmentation method
Externí odkaz:
https://doaj.org/article/55b2d6848ad64d748cf998187640b3b0
Publikováno v:
Radioengineering, Vol 11, Iss 3, Pp 43-48 (2002)
In non-stationary channels, error rates vary considerably. The papercompares Yao's Adaptive Go-back-N (GBN) Automatic-Repeat-Request (ARQ)scheme with Adaptive go-back-N with sliding window mechanism which bothestimate the channel state in a simple ma
Externí odkaz:
https://doaj.org/article/d229713bb4de47728bd29af8b4bded5d
Publikováno v:
Radioengineering, Vol 11, Iss 1, Pp 27-30 (2002)
In the contribution we develop a new method for object-orientedinterpolation of images. It is an important tool in image processing,since using interpolation we can considerably decrease amount of data,necessary for image reconstruction. Application
Externí odkaz:
https://doaj.org/article/79426bb8e56340ff8157263cefcef845
Autor:
J. Polec, T. Karlubikova
Publikováno v:
Radioengineering, Vol 13, Iss 4, Pp 35-37 (2004)
In image processing and transmission, interpolation andextrapolation are of great importance whenever missing pixels have tobe filled in, and many methods have been proposed to solve thisproblem. In this paper we present a method for extrapolating th
Externí odkaz:
https://doaj.org/article/ca93720666f9493eb0b09efde2c736b0
Publikováno v:
Radioengineering, Vol 12, Iss 2, Pp 38-40 (2003)
In this paper we analyze the adaptation rule, which estimates thechannel state and switches between hybrid ARQ(automatic-repeat-request) and pure ARQ. Convolutional code was chosenas FEC (forward-error-correction) in hybrid ARQ part and go-back-N ARQ
Externí odkaz:
https://doaj.org/article/c5b1ac4490b04342af3a654f12c6035e
Publikováno v:
Radioengineering, Vol 8, Iss 4 (1999)
In non stationary channels, error rates vary considerably. This paper proposes an effective go-back-N (GBN) Automatic-Repeat-Request (ARQ) scheme which estimates the channel state in a simple manner, and adaptively switches its operation mode. It pro
Externí odkaz:
https://doaj.org/article/a1774ff7cd084384a90fb5bca34e41cf