Srikanth rangu (25 resultados)

Condición: New.

Condición: New.

Paperback. Condición: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

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

Taschenbuch. Condición: Neu. Introduction to Watermarking Techniques and Applications | Srikanth Rangu | Taschenbuch | 68 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202526425 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Novel Hardware Implementation of Adaptive Median Filter | Srikanth Rangu | Taschenbuch | 80 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659544477 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Gaussian mixture model for Image Contrast Enhancement | Srikanth Rangu | Taschenbuch | 84 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659886195 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this document, a robust and efficient digital image watermarking algorithm using the Fast Hadamard Transform (FHT) is proposed for the copyright protection of digital images. This algorithm can embed or hide an entire image or pattern as a watermark containing the owner's copyright information directly into the original image. The attacks were tested on a test image of size 256x256x8 bits, embedded with a watermark image of size 32x32x8 bits. The simplicity of the fast Hadamard transform also offers a significant advantage in shorter processing time and ease of hardware implementation than other orthogonal transforms, such as the discrete cosine transform and wavelet transform. The results along with a conclusion and future scope are presented. 68 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The objective of an image enhancement technique is to bring out hidden image details or to increase the contrast of an image with a low dynamic range. Such a technique produces an output image that subjectively looks better than the original image by increasing the gray-level differences (i.e., the contrast) among objects and background. Numerous enhancement techniques have been introduced, and these can be divided into three groups: 1) Techniques that decompose an image into high- and low-frequency signals for manipulation; 2) Transform-based techniques; and 3) Histogram modification techniques. Techniques in the first two groups often use multiscale analysis to decompose the image into different frequency bands and enhance its desired global and local frequencies. These techniques are computationally complex but enable global and local contrast enhancement simultaneously by transforming the signals in the appropriate bands or scales. Furthermore, they require appropriate parameter settings that might otherwise result in image degradations. For example, the center-surround Retinex algorithm was developed to attain lightness and color constancy for machine vision applications. 84 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In past years, linear filters became the most popular filters in image signal processing. The reason of their popularity is caused by the existence of robust mathematical models which can be used for their analysis and design. However, there exist many areas in which the nonlinear filters provide significantly better results. The advantage of nonlinear filters lies in their ability to preserve edges and suppress the noise without loss of details. The success of nonlinear filters is caused by the fact that image signals as well as existing noise types are usually nonlinear. Due to the imperfections of image sensors, images are often corrupted by noise. The impulse noise is the most frequently referred type of noise. In most cases, impulse noise is caused by malfunctioning pixels in camera sensors, faulty memory locations in hardware, or errors in the data transmission. We distinguish two common types of impulse noise; the salt and-pepper noise (commonly referred to as intensity spikes or speckle) and the random-valued shot noise. For images corrupted by salt-and-pepper noise, the noisy pixels can take only the maximum or minimum values. 80 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In past years, linear filters became the most popular filters in image signal processing. The reason of their popularity is caused by the existence of robust mathematical models which can be used for their analysis and design. However, there exist many areas in which the nonlinear filters provide significantly better results. The advantage of nonlinear filters lies in their ability to preserve edges and suppress the noise without loss of details. The success of nonlinear filters is caused by the fact that image signals as well as existing noise types are usually nonlinear. Due to the imperfections of image sensors, images are often corrupted by noise. The impulse noise is the most frequently referred type of noise. In most cases, impulse noise is caused by malfunctioning pixels in camera sensors, faulty memory locations in hardware, or errors in the data transmission. We distinguish two common types of impulse noise; the salt and-pepper noise (commonly referred to as intensity spikes or speckle) and the random-valued shot noise. For images corrupted by salt-and-pepper noise, the noisy pixels can take only the maximum or minimum values.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of an image enhancement technique is to bring out hidden image details or to increase the contrast of an image with a low dynamic range. Such a technique produces an output image that subjectively looks better than the original image by increasing the gray-level differences (i.e., the contrast) among objects and background. Numerous enhancement techniques have been introduced, and these can be divided into three groups: 1) Techniques that decompose an image into high- and low-frequency signals for manipulation; 2) Transform-based techniques; and 3) Histogram modification techniques. Techniques in the first two groups often use multiscale analysis to decompose the image into different frequency bands and enhance its desired global and local frequencies. These techniques are computationally complex but enable global and local contrast enhancement simultaneously by transforming the signals in the appropriate bands or scales. Furthermore, they require appropriate parameter settings that might otherwise result in image degradations. For example, the center-surround Retinex algorithm was developed to attain lightness and color constancy for machine vision applications.…

Condición: New. PRINT ON DEMAND.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this document, a robust and efficient digital image watermarking algorithm using the Fast Hadamard Transform (FHT) is proposed for the copyright protection of digital images. This algorithm can embed or hide an entire image or pattern as a watermark containing the owner's copyright information directly into the original image. The attacks were tested on a test image of size 256x256x8 bits, embedded with a watermark image of size 32x32x8 bits. The simplicity of the fast Hadamard transform also offers a significant advantage in shorter processing time and ease of hardware implementation than other orthogonal transforms, such as the discrete cosine transform and wavelet transform. The results along with a conclusion and future scope are presented.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rangu SrikanthR Srikanth completed B.Tech in ECE from JNTU College of Engineering, Kakinada, JNTU, Hyderabad and M.Tech from JNTUH, Hyderabd. Presently working as Assistant Professor in Dept. Of ECE, Kakatiya Institute of Technology .…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rangu SrikanthGautham Aditya Completed Completed Graduation in Electronics and Communication Engineering from JNTUH, Hyderabad and working in Software Industry.R Srikanth working as Assistant Professor in Kakatiya Institute of Techno.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rangu SrikanthRangu Srikanth completed B.Tech in ECE from JNTU College of Engineering, Kakinada, JNTU, Hyderabad and M.Tech from JNTU, Hyderabd. Presently working as Assistant Professor in Dept.Of ECE, Kakatiya Institute of Technolog.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this document, a robust and efficient digital image watermarking algorithm using the Fast Hadamard Transform (FHT) is proposed for the copyright protection of digital images. This algorithm can embed or hide an entire image or pattern as a watermark containing the owner's copyright information directly into the original image. The attacks were tested on a test image of size 256x256x8 bits, embedded with a watermark image of size 32x32x8 bits. The simplicity of the fast Hadamard transform also offers a significant advantage in shorter processing time and ease of hardware implementation than other orthogonal transforms, such as the discrete cosine transform and wavelet transform. The results along with a conclusion and future scope are presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The objective of an image enhancement technique is to bring out hidden image details or to increase the contrast of an image with a low dynamic range. Such a technique produces an output image that subjectively looks better than the original image by increasing the gray-level differences (i.e., the contrast) among objects and background. Numerous enhancement techniques have been introduced, and these can be divided into three groups: 1) Techniques that decompose an image into high- and low-frequency signals for manipulation; 2) Transform-based techniques; and 3) Histogram modification techniques. Techniques in the first two groups often use multiscale analysis to decompose the image into different frequency bands and enhance its desired global and local frequencies. These techniques are computationally complex but enable global and local contrast enhancement simultaneously by transforming the signals in the appropriate bands or scales. Furthermore, they require appropriate parameter settings that might otherwise result in image degradations. For example, the center-surround Retinex algorithm was developed to attain lightness and color constancy for machine vision applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In past years, linear filters became the most popular filters in image signal processing. The reason of their popularity is caused by the existence of robust mathematical models which can be used for their analysis and design. However, there exist many areas in which the nonlinear filters provide significantly better results. The advantage of nonlinear filters lies in their ability to preserve edges and suppress the noise without loss of details. The success of nonlinear filters is caused by the fact that image signals as well as existing noise types are usually nonlinear. Due to the imperfections of image sensors, images are often corrupted by noise. The impulse noise is the most frequently referred type of noise. In most cases, impulse noise is caused by malfunctioning pixels in camera sensors, faulty memory locations in hardware, or errors in the data transmission. We distinguish two common types of impulse noise; the salt and-pepper noise (commonly referred to as intensity spikes or speckle) and the random-valued shot noise. For images corrupted by salt-and-pepper noise, the noisy pixels can take only the maximum or minimum values.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…