• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6C
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• pp.857-864
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• 2004

Many image compression standards such as JPEG, MPEG or H.263 are based on the discrete cosine transform (DCT) and quantization method. Quantization error. is the major source of image quality degradation. The current dequantization method assumes the uniform distribution of the DCT coefficients. Therefore the dequantization value is the center of each quantization interval. However DCT coefficients are regarded to follow Laplacian probability density function (pdf). The center value of each interval is not optimal in reducing squared error. We use mean of the quantization interval assuming Laplacian pdf, and show the effect of correction on image quality. Also, we compare existing quantization error to corrected quantization error in closed form. The effect of PSNR improvements due to the compensation to the real image is in the range of 0.2 ∼0.4 ㏈. The maximum correction value is 1.66 ㏈.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.4
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• pp.253-260
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• 2008

Image denoising as one of image enhancement methods has been studied a lot in the spatial and transform domain filtering. Recently wavelet transform which has an excellent energy compaction and a property of multiresolution has widely used for image denoising. But a transform based on human visual system is visually useful if an end user is human beings. Therefore, Gabor cosine and sine transform which is considered as human visual filter is applied to image denoising areas in this paper. Denoising performance of the proposed transform is compared with those of the derivatives of Gaussian transform being another human visual filter and of discrete wavelet transform in terms of PSNR. With three levels of various noises, experimental results for real images show that the proposed transform has better PSNR performance of 0.41dB than DWT and 0.14dB than DGT.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1755-1759
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• 2004

Digital watermarking technology is one of method of protecting property from the illegal reproduction of digital data. This technology inserts the specific data in a certain file to identify the property, that is an author and rights, not for human to be seen and heard. In this paper, the watermarking technology which inserts a RGB color watermark in a JPEG2000 color image using the visual characteristics of wavelet coefficient was proposed. After applying various attack at a watermarked image according to proposed technology, the likeness between the original image, the watermark and the extracted watermark was measured and investigated. As a result, the PSNR value of image was varied depending on perceptual parameter, but we can obtain 32dB as a whole.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.134-137
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• 2010

다시점 영상 비디오를 부호화하기 위해 다시점 영상 부호화기(MVC)가 제안되었다. MVC가 다시점 영상 비디오를 효율적으로 압축함에도 불구하고 여전히 제한된 대역폭의 채널을 통해 다시점 영상을 전송하기에는 한계가 있다. 따라서 제한된 대역폭을 효과적으로 활용할 수 있도록 효율적인 비트율 제어 알고리즘이 요구된다. 2D 영상 부호화를 위한 비트율 제어 알고리즘은 활발한 연구가 이루어졌지만 다시점 영상 부호화를 위한 비트율 제어 알고리즘은 아직 충분히 연구되어지지 않았다. 본 논문에서는 시점 간 화질 분산과 계층적 B 픽처 구조를 고려한, 다시점 영상 부호화를 위한 비트율 제어 알고리즘을 제안한다. 제안된 알고리즘은 부호화 전 단계, 시점 레벨 비트율 제어, GOP 레벨 비트율 제어, 픽처 레벨 비트율 제어의 네 단계로 이루어진다. 부호화 전 단계에서 시점 간 비트율의 비중과 계층 레벨 간의 비중을 계산한다. 그리고 시점의 목표 비트율, GOP의 목표 비트율, 픽처의 목표 비트율이 각각 시점 레벨 비트율 제어단계, GOP 레벨 비트율 제어단계, 픽처 레벨 비트율 제어 단계에서 계산된다. 실험 결과는 제안된 방식이 시점 간 화질(PSNR)의 분산을 줄이면서 비트율을 제어하는데 효과적이라는 것을 보여준다.

• Journal of Broadcast Engineering
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• v.14 no.2
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• pp.197-209
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• 2009

Stereoscopic video delivers depth perception to users contrary to 2D video. Therefore, we need to develop a new video quality assessment model for stereoscopic video. In this paper, we propose a new method for objective assessment of stereoscopic video. The proposed method detects blocking artifacts and degradation in edge regions such as in conventional video quality assessment model. And it detects video quality difference between views using depth information for efficient quality prediction. We performed subjective assessment of stereoscopic video to check the performance of the proposed method, and we confirmed that the proposed algorithm is superior to the existing method in PSNR in respect to correlation with results of the subjective assessment.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.687-695
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• 2003

In this paper, we present a document image compression system based on segmentation, Quincunx downsampling, (5/3) wavelet lifting and subband-oriented SPIHT coding. We reduced the coding time by the adaptation of subband-oriented SPIHT coding and Quincunx downsampling. And to increase compression rate further, we applied arithmetic coding to the bitstream of SPIHT coding output. Finally, we present the reconstructed images for visual comparison and also present the compression rates and PSNR values under various scalar quantization methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.605-608
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• 2007

The denoising for image restoration based on the Wavelet Packet with absolute average threshold is presented. The Existing method is used standard deviation estimated results in increasing the noise and threshold, and damaging an image quality. In addition that is decreased image restoration PSNR by using the same threshold in spite of changing image because of installing a threshold in proportion of noise size. In contrast, the absolute average threshold with wavelet packet is adapted by changing image to set up threshold by statistic quantity of resolved image and is avoided an extreme impart. The results on the experiment has improved 10% and 5% over than the denoising based on simple wavelet transform and wavelet packet respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.952-958
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• 2009

Recently, due to problems in terms of illegal copying of medical image and the right ownership and authentication of data, it is necessary for us to study about those problems. In this study, we propose steganography with a method of the hiding information of high-resolution in digital medical image. The proposed algorithm is one of the way that inserts secret information by protecting ROI area which is regarded as and important feature of high-resolution digital medical image. As a result, the proposed method made it possible to insert secret information of massive storage and didn't affect the imperceptibility in medical image quality based on capacity and PSNR showed the all image quality of about 33.33dB.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.932-935
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• 2015

Recently, the image system is utilized in several fields due to the development of multimedia technology. However, the noise occurs according to various causes in the process of image data processing. The noises added to the image include several types according to the cause and shape, and the salt and pepper noise is one of the typical noise types. Thus, this paper proposed the median filter algorithm using the estimated mask in order to remove the salt and pepper noise effectively and also compared this algorithm with the current methods using PSNR(peak signal to noise ratio) as a criterion of judgment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.274-276
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• 2015

The image processing is recognized as an important field as Internet develops. The image is deteriorated in the process of obtaining, storage and transmission with various causes. Many studies have been carried out to restore the image by mainly removing the impact of salt and pepper noise added to the image. Thus, this paper proposed a modified median filter using pixel distribution in order to remove the impact of salt and pepper noise added to the image and compared it with the current methods using PSNR(peak signal to n oise ratio) as a criterion of judgment for objective judgment.