scholarly journals Wavelet-based image compression using mathematical morphology and self organization feature map

2021 ◽  
Author(s):  
Abdul Adeel Mohammed
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Mathematical Morphology ◽  
Self Organization ◽  
Jpeg 2000 ◽  
Compression System ◽  
Feature Map ◽  
Domain Information ◽  
Selection Of ◽  
Self Organizing

Image compression using transform coding technique has been widely used in practice. However, wavelet transform is the only method that provides both spatial and frequency domain information. These properties of wavelet transform greatly help in identification and selection of significant and non-significant coefficients from amongst the wavelet coefficients. Wavelet transform based image compression result in an improved compression ratio as well as image quality and thus both the signficant coefficients and their positions within an image are encoded and transmitted. In this thesis a wavelet based image compression system is presented that uses mathematical morphology and self organizing feature map (MMSOFM). The significance map is preprocessed using mathematical morphology operators to identify and creat clusters of significant coefficients. A self-organizing feature map (SOFM) is then used to encode the significance map. Experimental results are shown and comparisons with JPEG and JPEG 2000 are made to emphasize the results of this compression system.

scholarly journals Wavelet-based image compression using mathematical morphology and self organization feature map

2021 ◽  
Author(s):  
Abdul Adeel Mohammed
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Mathematical Morphology ◽  
Self Organization ◽  
Jpeg 2000 ◽  
Compression System ◽  
Feature Map ◽  
Domain Information ◽  
Selection Of ◽  
Self Organizing

Image compression using transform coding technique has been widely used in practice. However, wavelet transform is the only method that provides both spatial and frequency domain information. These properties of wavelet transform greatly help in identification and selection of significant and non-significant coefficients from amongst the wavelet coefficients. Wavelet transform based image compression result in an improved compression ratio as well as image quality and thus both the signficant coefficients and their positions within an image are encoded and transmitted. In this thesis a wavelet based image compression system is presented that uses mathematical morphology and self organizing feature map (MMSOFM). The significance map is preprocessed using mathematical morphology operators to identify and creat clusters of significant coefficients. A self-organizing feature map (SOFM) is then used to encode the significance map. Experimental results are shown and comparisons with JPEG and JPEG 2000 are made to emphasize the results of this compression system.

Study of the Discrete Wavelet Transform Based on JPEG2000 Image Compression Algorithm

2013 ◽  
Vol 464 ◽  
pp. 411-415
Author(s):  
Jin Cai ◽  
Shuo Wang
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Image Coding ◽  
Dynamic Range ◽  
Compression Algorithm ◽  
Discrete Wavelet ◽  
Coding System ◽  
Jpeg 2000 ◽  
Image Compression Algorithm

JPEG 2000 is a new image coding system that uses state-of-the-art compression techniques based on wavelet technology. As interactive multimedia technologies evolve, the requirements for the file format used to store the image data continue to evolve. The size and bit depth collected for an image to increase the resolution and extend the dynamic range and color gamut. Discrete Wavelet transform based embedded image coding method is the basis of JPEG2000. Image compression algorithm for the proper use and display of the image is a requirement for digital photography.

scholarly journals An Approach to Determining the Spatially Contiguous Zone of a Self-Organized Urban Agglomeration

2019 ◽  
Vol 11 (12) ◽  
pp. 3490
Author(s):  
Fei Liu ◽  
Qing Huang
Keyword(s):  
Urban Agglomeration ◽  
Self Organization ◽  
Urban Agglomerations ◽  
Urban Dynamics ◽  
Self Organized ◽  
Spatial Features ◽  
Spatial Range ◽  
The One ◽  
Selection Of ◽  
Self Organizing

The evolution of the urban agglomeration is a significant development in urban geography. Determining its spatial range for effective measurement remains a challenge for researchers. In previous studies, determining spatial range has primarily been done through distinguishing the cities that should belong to urban agglomerations from among other cities by using various indicators. Both the selection of indicators and the standards used for calculation and identification have been based on subjective choices, and have not considered spatial distribution or morphology. The urban agglomeration can be regarded as a self-organized space, and spatial features of the fractal can be regarded as one of the morphological characterizations of spatial self-organization. From the perspective of the assumption that the space of urban agglomerations is molecule like assembled, and through the extraction and analysis of spatial fractals, we present an objective method to determine the “spatially contiguous zone” of urban agglomeration, particularly the spatial range in which the urban agglomeration is able to exercise jurisdiction within the radius of its capacity, rather than in the administrative division. Our method is applied in this paper to the Beijing–Tianjin–Hebei urban agglomeration and produced the following results: (1) the existence of spatial fractals and the theory of space unit molecule like self-organization or assembly in the morphology of urban agglomerations has been proved; and (2) a spatially contiguous zone could be identified for the urban agglomeration has been confirmed. Compared with previous methods used for determining space, this method is centered on the spatial morphology of urban agglomerations; the recognition of a spatially contiguous zone liberates the geographical limits of the result from city boundary restrictions. Concurrently, by considering the linkages within the city as a self-organizing black box, we can circumvent the one-sidedness involved with the selection of indicators that has biased previous studies, thereby avoiding having to focus on the specific mechanism of urban dynamics, and coming much closer to its self-organizing dynamic inner nature. This approach will prove to be a useful reference for the identification of spatial ranges in future studies.

scholarly journals JPEG 2000 in Medical Applications

2006 ◽  
Author(s):  
Mathieu Malaterre
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Working Group ◽  
Medical Applications ◽  
Jpeg 2000 ◽  
Dicom Standard ◽  
Compression Algorithms ◽  
Group 4

The DICOM Working Group 4 (compression group) has approved in November 2001 the use of JPEG 2000 compression as part of the DICOM standard. This document describes how this wavelet transform-based image compression algorithms is now integrated via GDCM and OpenJPEG in the Insight Toolkit ITK.

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