Image Interpolation Based on Wavelet Transform

2014 ◽  
Vol 484-485 ◽  
pp. 853-855
Author(s):  
Hai Zhu Yu ◽  
Xiao Li Chai ◽  
Hua Deng
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Digital Image Processing ◽  
Digital Image ◽  
Wavelet Transformation ◽  
Image Interpolation ◽  
Fractal Interpolation ◽  
Image Magnification ◽  
Post Process ◽  
Forming Methods

Image interpolation is widely studied and used in digital image processing. In this paper, a method of image magnification according to the properties of fractal interpolation and wavelet transformation are presented. We focus the development of edge forming methods to be applied as a post process of standard image zooming methods for grayscale images, with the hope of retaining edges. Experiments make sure it valid.

Wavelet-transform-based digital image processing of photomechanics

2002 ◽  
Author(s):  
J. Fang ◽  
Chun-Yang Xiong ◽  
Hongju Li ◽  
M. Li ◽  
J. Zhang
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Digital Image Processing ◽  
Digital Image

Wavelet Transform Algorithms

2018 ◽  
pp. 177-192
Author(s):  
Arvind Kumar Kourav ◽  
Shilpi Sharma ◽  
Vimal Tiwari
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Data Analysis ◽  
Digital Image Processing ◽  
Digital Image ◽  
Communication Systems ◽  
Digital Images ◽  
Industrial Applications ◽  
High Quality ◽  
Source Of Information

Digital image processing has an enormous impact on technical and industrial applications. Uncompressed images need large storage capacity and communication bandwidth. Digital images have become a significant source of information in the current world of communication systems. This chapter explores the phenomenon of digital images and basic techniques of digital image processing in detail. With the creation of multimedia, the requirements for the storage of a larger amount of high quality pictures and data analysis are increasing.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

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