A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids | Zendy

Archana RPriyadarshini | Zendy

Open Access

A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids

Author(s) -

Archana RPriyadarshini

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/19353-1024

Subject(s) - computer science , gaussian , matching (statistics) , enhanced data rates for gsm evolution , laplace operator , compression (physics) , estimation , artificial intelligence , pattern recognition (psychology) , algorithm , data mining , statistics , mathematics , mathematical analysis , physics , quantum mechanics , materials science , management , economics , composite material

pyramid provides multi-resolutional format that mirrors multiple scales of processing in the human visual system. Pyramid construction tends to enhance image features, such as edges, which are important for interpretation. Gaussian pyramid techniques are efficiently used for multi-scale edge estimation, to compute coarse scale images and also for finer details of the images .Laplacian pyramids methodology help in efficient compression and redundancy removal. The methodologies that are into picture helps to develop filter- based representations in order to decompose images into information at multiple scales, to extract features of interest and also in attenuating noise.

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