Image Error Concealment Technique Using Boundary Matching Algorithm - Tapa blanda

Shelotkar, Aniruddha; Barbuddhe, Vishwajit

 
9786202074308: Image Error Concealment Technique Using Boundary Matching Algorithm

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

Dr. 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. from Rajiv Gandhi Technological University, Bhopal

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