Name: Sparse Signal Representation for a single-image Super Resolution (en Inglés)
SKU: 57661904
Price: 58.09 USD
Availability: InStock
Author: Jadhav, Jagannath ; Jadhav, Prof Amruta
ISBN: 9786202803175

portada Sparse Signal Representation for a single-image Super Resolution (en Inglés)

Sparse Signal Representation for a single-image Super Resolution (en Inglés)

Formato

Libro Físico

Autor

Jagannath Jadhav

Prof Amruta Jadhav

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

Peso

0.09 kg.

ISBN13

9786202803175

Categorías

Ingeniería electrónica

Sparse Signal Representation for a single-image Super Resolution (en Inglés)

Jagannath Jadhav (Autor) · Prof Amruta Jadhav (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Sparse Signal Representation for a single-image Super Resolution (en Inglés)"

Many effective approaches designed to solve ill-posed and ill-conditioned problem had deficiencies to fulfill the needs of point spread function (PSF), which is hard to get into the practical situation all the time. So this project introduces a method called as Sparse signal representation for a single-image Super Resolution. The research on image Statistics gives a forward step to represent the image patches in a better way, as a sparse linear combination of elements, which are chosen from complete dictionary. From the coefficients of the sparse representation are utilized to construct the high-resolution output image. Here it trains two dictionaries jointly for the low-and high-resolution image patch, which produces two individual dictionary and it shows that the sparse representations for low- and high-resolution is same. To produce a high resolution image patch, the sparse representation can put together two trained dictionaries of the low- and the high-resolution image patch. A large amount of image patch pair are sampled here, by decreasing the computational cost significantly.