Image compression techniques analysis par jindal richa (5 résultats)

Paperback. Etat : Brand New. 01 edition. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Importance of image compression increases with advancing communication technology. Limited hardware and budget is also important in sending data fast. The amount of data associated with visual information is so large that its storage requires enormous storage capacity and require large capacity and bandwidth, which could be very expensive.Generally images carry three main types of information: redundant, irrelevant, and useful.Redundant information is that which can be reproduced, without loss, from other information contained in the image, for example, low varying background information. Irrelevant information is the part of the information that has enormous details which is beyond the limit of perceptual significance. Useful information is part of the information which is neither redundant nor irrelevant. Decompressed images are usually observed by human beings. Therefore their fidelities are subject to the capabilities and limitations of the human visual system (HVS).Set partitioning in hierarchical trees (SPIHT), is an extension of Shapiro's embedded zerotrees wavelet. the algorithms allow for progressive transmission require no training,and are of low computational complexity. 84 pp. Englisch.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Importance of image compression increases with advancing communication technology. Limited hardware and budget is also important in sending data fast. The amount of data associated with visual information is so large that its storage requires enormous storage capacity and require large capacity and bandwidth, which could be very expensive.Generally images carry three main types of information: redundant, irrelevant, and useful.Redundant information is that which can be reproduced, without loss, from other information contained in the image, for example, low varying background information. Irrelevant information is the part of the information that has enormous details which is beyond the limit of perceptual significance. Useful information is part of the information which is neither redundant nor irrelevant. Decompressed images are usually observed by human beings. Therefore their fidelities are subject to the capabilities and limitations of the human visual system (HVS).Set partitioning in hierarchical trees (SPIHT), is an extension of Shapiro's embedded zerotrees wavelet. the algorithms allow for progressive transmission require no training,and are of low computational complexity.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jindal RichaAuthor is Assistant Prof. at PEC University of Technology, Chandigarh. She has more than 15 years of teaching UG and PG engineering students. She has authored several research papers in refereed international/national jou.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Importance of image compression increases with advancing communication technology. Limited hardware and budget is also important in sending data fast. The amount of data associated with visual information is so large that its storage requires enormous storage capacity and require large capacity and bandwidth, which could be very expensive.Generally images carry three main types of information: redundant, irrelevant, and useful.Redundant information is that which can be reproduced, without loss, from other information contained in the image, for example, low varying background information. Irrelevant information is the part of the information that has enormous details which is beyond the limit of perceptual significance. Useful information is part of the information which is neither redundant nor irrelevant. Decompressed images are usually observed by human beings. Therefore their fidelities are subject to the capabilities and limitations of the human visual system (HVS).Set partitioning in hierarchical trees (SPIHT), is an extension of Shapirös embedded zerotrees wavelet. the algorithms allow for progressive transmission require no training,and are of low computational complexity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.…