9786202074308 - Image Error Concealment Technique Using Boundary Matching Algorithm de Shelotkar, Aniruddha; Barbuddhe, Vishwajit (6 resultados)

Paperback. Condición: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condición: Neu. Image Error Concealment Technique Using Boundary Matching Algorithm | Aniruddha Shelotkar (u. a.) | Taschenbuch | 80 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202074308 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image concealment algorithm applied for BMP ,DIB , EPI , EPS , GIF , JPC , JPEG , PCD , PCX , PDB , PDF , PGM , PICT , PNG , JPG , SVG , TGA , PSD extension of different sizes .The transmission of block-coded visual information over packet networks introduces fidelity problems in terms of data losses, which result in wrong reconstruction of block sequences at the decoder. Concealment techniques aim at masking the visual effect of these errors by exploiting either spatial or temporal available information. Both temporal and spatial approaches present drawbacks: the first is in general inefficient in handling complex or fast objects motion, while the second is computationally expensive and is not able to recover high-frequency contents and small details. In this paper, The technique first replaces the lost block with the best matching pattern in a previously decoded frame using the border information The first step is achieved by a fast matching algorithm for a high precision is not needed. While the second step recover damaged part of image and boundary of images. 80 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shelotkar AniruddhaDr. Aniruddha Shelotkar completed Ph.D. in Electronics and Telecommunication Engg. from Sant Gadge Baba Amravati University, Amravati.Prof. Vishwajit Barbudhe completed M.Tech in Electronics and Communication Engg.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image concealment algorithm applied for BMP ,DIB , EPI , EPS , GIF , JPC , JPEG , PCD , PCX , PDB , PDF , PGM , PICT , PNG , JPG , SVG , TGA , PSD extension of different sizes .The transmission of block-coded visual information over packet networks introduces fidelity problems in terms of data losses, which result in wrong reconstruction of block sequences at the decoder. Concealment techniques aim at masking the visual effect of these errors by exploiting either spatial or temporal available information. Both temporal and spatial approaches present drawbacks: the first is in general inefficient in handling complex or fast objects motion, while the second is computationally expensive and is not able to recover high-frequency contents and small details. In this paper, The technique first replaces the lost block with the best matching pattern in a previously decoded frame using the border information The first step is achieved by a fast matching algorithm for a high precision is not needed. While the second step recover damaged part of image and boundary of images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image concealment algorithm applied for BMP ,DIB , EPI , EPS , GIF , JPC , JPEG , PCD , PCX , PDB , PDF , PGM , PICT , PNG , JPG , SVG , TGA , PSD extension of different sizes .The transmission of block-coded visual information over packet networks introduces fidelity problems in terms of data losses, which result in wrong reconstruction of block sequences at the decoder. Concealment techniques aim at masking the visual effect of these errors by exploiting either spatial or temporal available information. Both temporal and spatial approaches present drawbacks: the first is in general inefficient in handling complex or fast objects motion, while the second is computationally expensive and is not able to recover high-frequency contents and small details. In this paper, The technique first replaces the lost block with the best matching pattern in a previously decoded frame using the border information The first step is achieved by a fast matching algorithm for a high precision is not needed. While the second step recover damaged part of image and boundary of images.