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检索条件"任意字段=Image Processing: Algorithms and Systems XI"

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A Study of Non-diagonal Models for image White balance

A Study of Non-diagonal Models for Image White balance

引用

Conference on image processing - algorithms and systems xi

作者： Huang, Ching-chun Huang, De-Kai Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan

ISBN: (纸本)9780819494283

White balance is an algorithm proposed to mimic the color constancy mechanism of human perception. However, as shown by its name, current white balance algorithms only promise to correct the color shift of gray tones to correct positions;for other color values, white balance algorithms process them as gray tones and therefore produce undesired color biases. To improve the color prediction of white balance algorithms, in this paper, we propose a 3-parameter non-diagonal model, named as PCA-CLSE, for white balance. Unlike many previous researches which use the von Kries diagonal model for color prediction, we proposed applying a non-diagonal model for color correction which aimed to minimize the color biases while keeping the balance of white color. In our method, to reduce the color biases, we proposed a PCA-based training method to gain extra information for analysis and built a mapping model between illumination and non-diagonal transformation matrices. While a color-biased image is given, we could estimate the illumination and dynamically determine the illumination-dependent transformation matrix to correct the color-biased image. Our evaluation shows that the proposed PCA-CLSE model can efficiently reduce the color biases.

关键词： White Balance Color Constancy Von Kries Model Color Prediction Chromatic Adaptation

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Kernel-based image upscaling method with shooting artifact reduction

Kernel-based image upscaling method with shooting artifact r...

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Conference on image processing - algorithms and systems xi

作者： Park, Chul Hee Chang, Joonyoung Kang, Moon Gi Yonsei Univ Dept Elect & Elect Engn Inst TMS Ctr Informat Technol Seoul 120749 South Korea

ISBN: (纸本)9780819494283

This paper describes the interpolation algorithm which contains shooting or ringing artifact suppression based on windowed sinc interpolator. In general, the windowed sinc interpolator can achieve better performance by using wider window. However, using wide window causes more ripples that produce unwanted defects such as ringing or shooting artifact. Therefore, shooting reduction technique is proposed in this paper for using wider windows to improve the performance without shooting artifact. The proposed algorithm can suppress shooting artifact by using median sinc interpolator and it can be also used as a post processor for many kernel-based interpolation methods. The resulted image shows that the proposed algorithm can maintain local details and suppress shooting artifact in the image well.

关键词： Shooting artifact windowed sinc interpolation deshoot

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Improved image Copyright Protection Scheme Exploiting Visual Cryptography in Wavelet Domain

Improved Image Copyright Protection Scheme Exploiting Visual...

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Conference on image processing - algorithms and systems xi

作者： Meneghetti, A. Boato, G. De Natale, F. G. B. Univ Trento Dept Informat Engn & Comp Sci I-38121 Trento Italy

ISBN: (纸本)9780819494283

The last few years have seen a massive increment in the use of the Internet as a channel for sharing and transmitting data, thus requiring the need for copyright protection schemes able to preserve the ownership of the data. The idea of embedding a watermark directly in the data is however unacceptable in various fields of application, due to the intrinsic degradation introduced by non reversible watermarking schemes. Hence some zero watermarking schemes have been developed. In this work we propose an optimization of a recent watermarking method based on visual cryptography, by improving results against most commont types of attacks and achieving a higher perceptual quality of the extracted mark.

关键词： Digital watermarking Visualization Cryptography Digital filtering image quality Wavelets Discrete wavelet transforms image compression Internet Multimedia

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Poisson shot noise parameter estimation from a single scanning electron microscopy image

Poisson shot noise parameter estimation from a single scanni...

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Conference on image processing - algorithms and systems xi

作者： Kockentiedt, Stephen Toennies, Klaus Gierke, Erhardt Dziurowitz, Nico Thim, Carmen Plitzko, Sabine Univ Magdeburg Fac Comp Sci Dept Simulat & Graph D-39106 Magdeburg Germany

ISBN: (纸本)9780819494283

Scanning electron microscopy (SEM) has an extremely low signal-to-noise ratio leading to a high level of shot noise which makes further processing difficult. Unlike often assumed, the noise stems from a Poisson process and is not Gaussian but depends on the signal level. A method to estimate the noise parameters of individual images should be found. Using statistical modeling of SEM noise, a robust optimal noise estimation algorithm is derived. A non-local means noise reduction filter tuned with the estimated noise parameters on average achieves an 18% lower root-mean-square error than the untuned filter on simulated images. The algorithm is stable and can adapt to varying noise levels.

关键词： noise estimation shot noise Poisson process scanning electron microscopy signal-dependent noise noise removal noise reduction statistical noise model

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Hyperspectral images lossless compression using the 3D binary EZW algorithm

Hyperspectral images lossless compression using the 3D binar...

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Conference on image processing - algorithms and systems xi

作者： Cheng, Kai-jen Dill, Jeffrey Ohio Univ Russ Coll Engn & Technol Sch Elect Engn & Comp Sci Stocker Ctr 329 Athens OH 45701 USA

ISBN: (纸本)9780819494283

This paper presents a transform based lossless compression for hyperspectral images which is inspired by Shapiro (1993)'s EZW algorithm. The proposed compression method uses a hybrid transform which includes an integer Karhunrn-Loeve transform (KLT) and integer discrete wavelet transform (DWT). The integer KLT is employed to eliminate the presence of correlations among the bands of the hyperspectral image. The integer 2D discrete wavelet transform (DWT) is applied to eliminate the correlations in the spatial dimensions and produce wavelet coefficients. These coefficients are then coded by a proposed binary EZW algorithm. The binary EZW eliminates the subordinate pass of conventional EZW by coding residual values, and produces binary sequences. The binary EZW algorithm combines the merits of well-known EZW and SPIHT algorithms, and it is computationally simpler for lossless compression. The proposed method was applied to AVIRIS images and compared to other state-of-the-art image compression techniques. The results show that the proposed lossless image compression is more efficient and it also has higher compression ratio than other algorithms.

关键词： image compression hyperspectral images EZW SPIHT wavelet transform Karhunen-Loeve transform matrix factorization zerotree

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EMBEDDING HIGH DYNAMIC RANGE TONE MAPPING IN JPEG COMPRESSION

EMBEDDING HIGH DYNAMIC RANGE TONE MAPPING IN JPEG COMPRESSIO...

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Conference on image processing - algorithms and systems xi

作者： Liu, Jian Hassan, Firas Carletta, Joan Univ Akron Elect & Comp Engn Dept Akron OH 44325 USA

ISBN: (纸本)9780819494283

A method that integrates tone mapping for high dynamic range (HDR) gray-scale images with JPEG compression is proposed. The tone mapping operator (TMO) is block-based, and structured so that the same discrete cosine transform (DCT) that is used for the JPEG compression serves to complete a major part of the tone-mapping operation. Simulations have been done on high dynamic range images from the Debevec library. Experimental results show the technique successfully tone maps and compresses simultaneously;the number of bits per pixel is reduced from 32 to an average of 0.67 by the compression, with an average PSNR of 56.3 dB for the compressed tone-mapped images compared to images that have been only tone-mapped. The output of the proposed method is an image that requires only limited storage space, and can be decompressed with a standard JPEG decoder.

关键词： high dynamic range tone mapping image compression JPEG

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Evolution of image Regularization with PDEs toward a New Anisotropic Smoothing based on Half Kernels

Evolution of Image Regularization with PDEs toward a New Ani...

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Conference on image processing - algorithms and systems xi

作者： Magnier, Baptiste Montesinos, Philippe Ecole Mines Ales LGi2P F-30035 Nimes 1 France

ISBN: (纸本)9780819494283

This paper is dedicated to a new anisotropic diffusion approach for image regularization based on a gradient and two diffusion directions obtained from half Gaussian kernels. This approach results in smoothing an image while preserving edges. From an anisotropic edge detector, built of half Gaussian derivative kernels, we introduce a new smoothing method preserving structures which drives the diffusion function of the angle between the two edge directions and the gradient value. Due to the two directions diffusion used in the control function, our diffusion scheme enables to preserve edges and corners, contrary to other anisotropic diffusion methods. Moreover, parameters of the Gaussian kernel can be tuned to be sufficiently thin extracting precisely edges whereas its length allows detecting in contour orientations which leads to a coherent image regularization. Finally, we present some experimental results and discuss about the choice of the different parameters.

关键词： Anisotropic smoothing diffusion PDEs half Gaussian kernel anisotropic edge detector

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Fast Noise Variance Estimation by Principal Component Analysis

Fast Noise Variance Estimation by Principal Component Analys...

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Conference on image processing - algorithms and systems xi

作者： Pyatykh, Stanislav Zheng, Lei Hesser, Juergen Heidelberg Univ Univ Med Ctr Mannheim D-68167 Mannheim Germany

ISBN: (纸本)9780819494283

Noise variance estimation is required in many image denoising, compression, and segmentation applications. In this work, we propose a fast noise variance estimation algorithm based on principal component analysis of image blocks. First, we rearrange image blocks into vectors and compute the covariance matrix of these vectors. Then, we use Bartlett's test in order to select the covariance matrix eigenvalues, which correspond only to noise. This allows estimating the noise variance as the average of these eigenvalues. Since the maximum possible number of eigenvalues corresponding to noise is utilized, it is enough to process only a small number of image blocks, which allows reduction of the execution time. The blocks to process are selected from image regions with the smallest variance. During our experiments involving seven state of the art methods, the proposed approach was significantly faster than the methods with similar or higher accuracy. Meanwhile, the relative error of our estimator was always less than 15%. We also show that the proposed method can process images without homogeneous areas.

关键词： Noise variance estimation principal component analysis image denoising additive white Gaussian noise

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Decomposition of satellite Derived images for the Distinction of Cloud Types' Features

Decomposition of satellite Derived Images for the Distinctio...

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Conference on image processing - algorithms and systems xi

作者： Dim, Jules R. Murakami, Hiroshi JAXA EORC Tsukuba Ibaraki 3058505 Japan

ISBN: (纸本)9780819494283

Linear filtering methods using convolution techniques are applied in computer vision, to detect spatial discontinuities in the intensity of luminance of photograph images. These techniques are based on the following principal: a pixel's neighborhood contains information about its intensity. The variation of this intensity provides some information about the distribution and the possible decomposition of the image in various features. This decomposition relies on the relative position of the pixel (edge or not) on the image. These principals, integrated into remote sensing analyses, are applied in this study to differentiate cloud morphological features representing cloud types from a thermal image product (the Cloud top temperatures) derived from polar orbit satellites' observations. This approach contrast with that of other techniques commonly used in satellite cloud classification, and based on optical or thermodynamic properties of the clouds. The interpretation of the distribution of these cloud morphological features, and their frequency is evaluated against another cloud classification method relying on cloud optical properties. The results show a relatively good match between the two classifications. Implications of these results, on the estimation of the impact of cloud shapes' variations on the recent climate are discussed.

关键词： image decomposition pixel intensity local edge gradient cloud top temperature satellite image

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Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening

Graph cut and image intensity-based splitting improves nucle...

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Conference on image processing - algorithms and systems xi

作者： Farhan, Muhammad Ruusuvuori, Pekka Emmenlauer, Mario Raemoe, Pauli Yli-Harja, Olli Dehio, Christoph Tampere Univ Technol Dept Signal Proc FIN-33101 Tampere Finland

ISBN: (纸本)9780819494283

Quantification of phenotypes in high-content screening experiments depends on the accuracy of single cell analysis. In such analysis workflows, cell nuclei segmentation is typically the first step and is followed by cell body segmentation, feature extraction, and subsequent data analysis workflows. Therefore, it is of utmost importance that the first steps of high-content analysis are done accurately in order to guarantee correctness of the final analysis results. In this paper, we present a novel cell nuclei image segmentation framework which exploits robustness of graph cut to obtain initial segmentation for image intensity-based clump splitting method to deliver the accurate overall segmentation. By using quantitative benchmarks and qualitative comparison with real images from high-content screening experiments with complicated multinucleate cells, we show that our method outperforms other state-of-the-art nuclei segmentation methods. Moreover, we provide a modular and easy-to-use implementation of the method for a widely used platform.

关键词： High-content screening image segmentation Graph cut Concavity point analysis Clump splitting

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