The Experts below are selected from a list of 171 Experts worldwide ranked by ideXlab platform
Ponjay Huang - One of the best experts on this subject based on the ideXlab platform.
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modified Laplacian Filter and intensity correction technique for image resolution enhancement
International Conference on Multimedia and Expo, 2006Co-Authors: Dayfann Shen, Chuiwen Chiu, Ponjay HuangAbstract:By analyzing the deterministic relationship between the lower-resolution and the corresponding higher resolution images, we propose two core techniques namely MLF (modified Laplacian Filter) and IC (intensity correction) for image resolution enhancement, by which the image size can be increased revealing better details of the image contents. The simple 3times3 MLF is designed for properly restoring the frequency components attenuated in the averaging and down-sampling degradation process. The IC process iteratively refines the image quality for any resolution enhanced (enlarged) image. Experiments show that the proposed techniques can effectively improve the image qualities than bilinear or bicubic interpolation alone. It outperforms other recently developed algorithms both in perceptual quality (especially in the texture areas) and in objective quality in terms of PSNR. Both MLF and IC are simple in computations, which is quite desirable in many time sensitive applications
Dayfann Shen - One of the best experts on this subject based on the ideXlab platform.
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modified Laplacian Filter and intensity correction technique for image resolution enhancement
International Conference on Multimedia and Expo, 2006Co-Authors: Dayfann Shen, Chuiwen Chiu, Ponjay HuangAbstract:By analyzing the deterministic relationship between the lower-resolution and the corresponding higher resolution images, we propose two core techniques namely MLF (modified Laplacian Filter) and IC (intensity correction) for image resolution enhancement, by which the image size can be increased revealing better details of the image contents. The simple 3times3 MLF is designed for properly restoring the frequency components attenuated in the averaging and down-sampling degradation process. The IC process iteratively refines the image quality for any resolution enhanced (enlarged) image. Experiments show that the proposed techniques can effectively improve the image qualities than bilinear or bicubic interpolation alone. It outperforms other recently developed algorithms both in perceptual quality (especially in the texture areas) and in objective quality in terms of PSNR. Both MLF and IC are simple in computations, which is quite desirable in many time sensitive applications
Saeed Amirgholipour - One of the best experts on this subject based on the ideXlab platform.
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Optimizing of Spatial Domain Watermark Recovery Algorithm by Laplacian Filter
2014Co-Authors: Mehdi Alirezanejad, Saeed Amirgholipour, Vahid Saffari, Moein Arab, Shahin AslaniAbstract:In this paper, impact of a Laplacian Filter in better watermark recovery in the spatial domain watermarking algorithms has been investigated. A Laplacian Filter is an enhancement Filter, this Filter could be utilized to optimize extraction of the watermark information in spatial domain watermarking. The distinction between the watermark and unwatermarked part is increased by this Filter. Thus, watermark could be extracted significantly better by the watermark recovery algorithm. To show effectiveness of Laplacian Filter on the spatial domain watermarking algorithms, it is applied on a typical correlation based method. Several experiments are done to show that performance of correlation based watermarking algorithm is improved by applying this Filter before watermark extraction procedure.
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Effect of Different Places in Applying Laplacian Filter on the Recovery Algorithm in Spatial Domain Watermarking
Research Journal of Applied Sciences Engineering and Technology, 2014Co-Authors: Saeed Amirgholipour, Sup>vahid Saffari, Sup>aboosaleh Mohammad Sharifi, Sup>ali HasiriAbstract:Generally, Laplacian Filter is used to make an image more defined and enhanced. In this study, a comparison is toke place between the effects of different places of performing Laplacian Filter on the power of the watermark recovery in spatial domain image watermarking. This Filter is applied in two different places in the watermark recovery algorithm; before performing the watermark recovery and before take the correlation in the middle of recovery algorithm. The distinction between the watermark and UN water marked parts of the image are increased by this Filter. Thus, watermark could recover significantly better by recovery algorithm. We intend to determine which of these places is more appropriate to apply this Filter. A typical correlation based method is used as a representative of spatial domain watermarking methods. Several experiment are done to compare the effect of different places in applying proposed Filter on quality of extracted watermark in correlation based watermarking algorithm.
Fazal Malik - One of the best experts on this subject based on the ideXlab platform.
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the statistical quantized histogram texture features analysis for image retrieval based on median and Laplacian Filters in the dct domain
The International Arab Journal of Information Technology, 2013Co-Authors: Fazal Malik, B T H T BaharudinAbstract:An effective Content-Based Image Retrieval (CBIR) system is based on efficient feature extraction and accurate retrieval of similar images. Enhanced images by using proper Filter methods can also, play an important role in image retrieval in a compressed frequency domain since currently most of the images are represented in the compressed format by using the Discrete Cosine Transformation ( DCT) blocks transformation. In compression, some crucial information is lost and perceptual information is left, which has significant energy requirement for retrieval in a compressed domain. In this paper, the statistical texture features are extracted from the enhanced images in the DCT domain using only the DC and first three AC coefficients of the DCT blocks of image having more significant information. We study the effect of Filters in image retrieval using texture features. We perform an experimental comparison of the results in terms of accuracy on the basis of median, median with edge extraction and Laplacian Filters using quantized histogram texture features in a DCT domain. Experiments on the Corel database using the proposed approach, give the improved results on the basis of Filters; more specifically, the Laplacian Filter with sharpened images gives good performance in retrieval of JPEG format images as compared to the median Filter in the DCT frequency domain.
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quantized histogram color features analysis for image retrieval based on median and Laplacian Filters in dct domain
International Conference on Innovation Management and Technology Research, 2012Co-Authors: Fazal Malik, B T H T BaharudinAbstract:The efficient feature extraction and effective similar image retrieval are important steps for effective content-based image retrieval (CBIR) system. The extraction of features in compressed domain is attractive area due to the representation of almost all images in compressed format at present using DCT (Discrete Cosine Transformation) blocks transformation. During compression some critical information is lost and the perceptual information is left only, which has significant energy for retrieval in the compressed domain. In this paper, the statistical color features are extracted from the quantized histograms in the DCT domain using only the DC and the first three AC coefficients of the DCT blocks of image having more significant information. We study the effect of Filters in image retrieval using the color features. We perform the experimental comparison of results in terms of precision of the median, median with edge extraction and the Laplacian Filters using the color quantized histogram features in the DCT domain. The experimental results of the proposed approach using the Corel image database show that the Laplacian Filter with the sharpened images give good performance in retrieval of the JPEG format images as compared to the median Filter in the DCT frequency domain.
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feature analysis of quantized histogram color features for content based image retrieval based on Laplacian Filter
2012Co-Authors: Fazal Malik, Bin BaharudinAbstract:C olor is most prominent and widely used feature in content-based image retrieval (CBIR). It is most commonly extracted in images by using the histogram. Extraction of features from enhanced image gives good performance in image retrieval. In this paper a CBIR algorithm is proposed for the retrieval of images based on the Laplacian Filter for enhancement of image using the statistical quantized color histogram features. The sharpening method using Laplacian Filter is used for enhancement of image with significant information for retrieval. The statistical quantized color histogram features are extracted from sharpened grayscale image using different number of quantization bins. The color features are used in similarity measurement of the query image with database images for retrieval of similar images. The retrieval performance of the color features is analyzed for different number of quantization bins in terms of efficiency and accuracy. Experimental results using Corel image database show that the quantized color histogram features of Laplacian sharpened image are robust in retrieval. Keyw ords: Co ntent-Based Image Retrieval (CBIR), sharpened grayscale image, Laplacian Filter, color histogram
Shahin Aslani - One of the best experts on this subject based on the ideXlab platform.
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Optimizing of Spatial Domain Watermark Recovery Algorithm by Laplacian Filter
2014Co-Authors: Mehdi Alirezanejad, Saeed Amirgholipour, Vahid Saffari, Moein Arab, Shahin AslaniAbstract:In this paper, impact of a Laplacian Filter in better watermark recovery in the spatial domain watermarking algorithms has been investigated. A Laplacian Filter is an enhancement Filter, this Filter could be utilized to optimize extraction of the watermark information in spatial domain watermarking. The distinction between the watermark and unwatermarked part is increased by this Filter. Thus, watermark could be extracted significantly better by the watermark recovery algorithm. To show effectiveness of Laplacian Filter on the spatial domain watermarking algorithms, it is applied on a typical correlation based method. Several experiments are done to show that performance of correlation based watermarking algorithm is improved by applying this Filter before watermark extraction procedure.
