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Proceedings ArticleDOI

Wavelet transform based medical image enhancement using human visual characteristics

TL;DR: In this article, the authors presented an enhancement method based on human visual characterstics (HVC) for medical images, which divided the images in smooth area and detail area by discrete wavelet transform (DWT), and then used different processing methods for these areas according to HVC.
Abstract: This paper presents an enhancement method based on human visual characterstics (HVC) for medical images. In medical field images suffer from poor contrast and sometimes information is hidden in dark areas, due to this we are not able to extract information from them. We are presenting a method which takes care of these factors. According to HVC, human eyes are more sensitive towards plenty of details or great changings and less sensitive to smooth regions. So we divide the images in smooth area and detail area by discrete wavelet transform (DWT), and then use different processing methods for these areas according to HVC. Moreover, our experimental results validate that the proposed method performs better than conventional histrogram equalization method.
References
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Book
18 Oct 2004
TL;DR: This paper presents VLSI Architectures for Discrete Wavelet Transforms and Coding Algorithms in JPEG 2000, a guide to data compression techniques used in the development of JPEG 2000.
Abstract: Preface1 Introduction to Data Compression2 Source Coding Algorithms3 JPEG-Still Image Compression Standard4 Introduction to Discrete Wavelet Transform5 VLSI Architectures for Discrete Wavelet Transforms6 JPEG 2000 Standard7 Coding Algorithms in JPEG 20008 Code Stream Organization and File Format9 VLSI Architectures for JPEG 200010 Beyond Part 1 of JPEG 2000IndexAbout the Authors

347 citations

Journal ArticleDOI
01 Oct 2007-Ubiquity
TL;DR: The underlying computational foundations of all these algorithms and their implementation techniques are described and some experimental results are presented to show the impact of these algorithms in terms of image quality metrics and computational requirements for implementation.
Abstract: Image interpolation is an important image processing operation applied in diverse areas ranging from computer graphics, rendering, editing, medical image reconstruction, to online image viewing. Image interpolation techniques are referred in literature by many terminologies, such as image resizing, image resampling, digital zooming, image magnification or enhancement, etc. Basically, an image interpolation algorithm is used to convert an image from one resolution (dimension) to another resolution without loosing the visual content in the picture. Image interpolation algorithms can be grouped in two categories, non-adaptive and adaptive. The computational logic of an adaptive image interpolation technique is mostly dependent upon the intrinsic image features and contents of the input image whereas computational logic of a non-adaptive image interpolation technique is fixed irrespective of the input image features. In this paper, we review the progress of both non-adaptive and adaptive image interpolation techniques. We also proposed a new algorithm for image interpolation in discrete wavelet transform domain and shown its efficacy. We describe the underlying computational foundations of all these algorithms and their implementation techniques. We present some experimental results to show the impact of these algorithms in terms of image quality metrics and computational requirements for implementation.

73 citations

Journal Article
TL;DR: Starting with the physiological property of human eye and human psychological property, both gray resolution of an image and sensitivity of animage structure are investigated and tested and the corresponding mathematical model and concrete realizing method are set up according to the tested results.
Abstract: In a digital X-ray imager, the medical image is used for doctor diagnosis after it has been processed Since the image information is obtained through human vision, so the visual property of human eye should be fully taken account in image processing Starting with the physiological property of human eye and human psychological property, both gray resolution of an image and sensitivity of an image structure are investigated and tested The related regularities for the vision are summarized, the corresponding mathematical model and concrete realizing method are set up according to the tested results The method has been applied to the practical X-ray image processing systems and the image quality is improved In this way human eye can obtain the required information more fully and the accuracy of the doctor diagnosis is improved

12 citations

Proceedings ArticleDOI
06 Dec 2004
TL;DR: Experimental results show that the proposed system can segment vertebrae from video fluoroscopic image automatically and accurately.
Abstract: Video fluoroscopy provides a cost effective way for the diagnosis of low back pain. Backbones or vertebrae are usually segmented manually from fluoroscopic images of low quality during such a diagnosis. In this paper, we try to reduce human workload by performing automatic vertebrae detection and segmentation. Operators need to provide the rough location of landmarks only. The proposed algorithm would perform edge detection, which is based on pattern recognition of texture, along the snake formed from the landmarks. The snake would then attach to the edge detected. Experimental results show that the proposed system can segment vertebrae from video fluoroscopic image automatically and accurately.

6 citations