• The Transactions of the Korea Information Processing Society
• /
• v.5 no.12
• /
• pp.3265-3274
• /
• 1998

본 논문에서는 인간의 칼랄 인식 특성인 명도, 채도 및 색조의 관계를 학습시킨 신경회로망을 이용하여 열화된 영상의 채도 부분을 향상하는 칼라영상향상법으 제안하였다. 제안한 방법은 우선 표준영상으로부터 여러 단계 열화된 영상들로부터 얻은 다양한 명도, 채도 및 색조의 관계를 신경회로망의 입력으로 하고 표준영상의 채도를 목표차로 해서 신경회로망을 학습시킨다. 그리고 이렇게 학습된 신경회로망에 열화된 영상의 명도, 채도, 색조 그리고 향상시킨 명도를 입력하면 향상된 채도를 얻을 수 있는 칼라영상향상방법이다. 본 논문에서는 제안한 방법이 기존의 칼라영상향상법에서 가장 문제가 되었던 영상 향상 시 칼라범위를 초과하는 문제와 채도 향상비의 인위적 선택문제를 해결하고 채도의 대비를 향상시켜 선명한 영상을 얻을 수 있는 방법임을 밝혔다.

• Journal of Korea Multimedia Society
• /
• v.16 no.2
• /
• pp.119-130
• /
• 2013

In this paper, we propose a new color image enhancement method to improve the color saturation as well as luminance contrast in the YCbCr color space. The proposed method uses the maximum color difference table to compensate the perceived saturation changes due to luminance contrast changes. To improve the color saturation, the method first calculates the weighting factor by using the maximum color difference table and then multiplies the weighting factor to the input color difference signals. In this step, it maps color difference signals to proper color region to prevent the color distortion by considering the correlation of color saturations depending on the luminance and hue. The experimental results show that our method effectively improves color saturation compared to the conventional methods.

• The KIPS Transactions:PartB
• /
• v.14B no.3 s.113
• /
• pp.145-152
• /
• 2007

In this paper, we propose an automatic extraction model for unknown translations and implement an unknown translation extraction system using the proposed model. The proposed model as a phrase-alignment model is incorporated with three models: a phrase-boundary model, a language model, and a translation model. Using the proposed model we implement the system for extracting unknown translations, which consists of three parts: construction of parallel corpora, alignment of Korean and English words, extraction of unknown translations. To evaluate the performance of the proposed system, we have established the reference corpus for extracting unknown translation, which comprises of 2,220 parallel sentences including about 1,500 unknown translations. Through several experiments, we have observed that the proposed model is very useful for extracting unknown translations. In the future, researches on objective evaluation and establishment of parallel corpora with good quality should be performed and studies on improving the performance of unknown translation extraction should be kept up.

• Proceedings of the ESK Conference
• /
• 1995.10a
• /
• pp.192-200
• /
• 1995

본 연구에서는 점차 사용이 증가하고 있는 GUI 환경의 작업에서, 인간의 감 성인석을 색에 적용하고 이에 대한 수행도를 분석하고자 하였다. 실험은 우선 텍스트만 있는 윈도우와 색이 있는 윈도우와의 검색 시간을 비교하였다. 그리 고 색의 세 가지 속성인 색상, 채도, 명도와 검색 시간과의 관계를 알아보기 위해 색상, 채도, 명도, 거리를 독립변수로 하고 검색 시간을 종속변수로 하여 실험을 하였다. 그리고 색에 대한 인간의 감성 인식을 알아보고, 감성 인식을 고려한 색의 실질적인 수행도에 대해서도 분석하였다. 통계분석 결과, 색이 있는 환경에서의 검색 시간은 악 50.31% 향상되었으며, 색상과 채도의 수준 차이는 검색 시간에 유의한 것으로 나타났다. 색상의 경우는 녹색,적색 순 으로 검색 시간이 좋았으며, 채도의 경우는 회색이 적게 포함된 경우 검색 시간이 향상되었다. 그리고 감성을 고려한 색도 검색 시간이 향상된 것으로 나타났다. 본 연구는 여러 산업환경과 디자인 측면에 인간의 감성을 고려하 고 적용하는데 있어, 실질적인 수행도를 향상시키는 감성구현 방법과 이에 대 한 검증을 제시하고자 한다.

• Journal of Korea Multimedia Society
• /
• v.9 no.11
• /
• pp.1455-1464
• /
• 2006

In this paper, we propose an adaptive image enhancement algorithm. The proposed algorithm is classified with the MIE technique for intensity enhancement of input image and MSE techniques for saturation enhancement. The MIE technique is proposed to control the gamut mapping problem and a sudden change in image-brightness while Luminance signal is processing, The MSE techniques are proposed to control de-saturation or over-saturation while chrominance signal is processing. The proposed algorithm is focused on processing preference color for human vision in order to generate better image quality than the algorithms focused on processing uniformly to whole images, This algorithm can be applied to a monitor, TV and other display devices for high quality image.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.9
• /
• pp.110-117
• /
• 2016

Applying the contrast enhancement algorithms to luminance values of color images is a widely used approach to enhance the contrast of color images. The results obtained by this approach have reduced saturation compared with that of the original images in spite of contrast enhancement without color degradation. Applying the contrast enhancement algorithm to each channel of color images is another approach for the contrast enhancement of color images. This method produces improved images in terms of contrast and saturation while the hue of original images is changed. In this paper, main cause of color degradation is analyzed and then solving the problem based on the analysis. The channel adaptive contrast enhancement method considering characteristics of each channel is also proposed to deal with color degradation. As a result, the proposed method enhances the contrast and saturation simultaneously without color degradation. Experimental results show that the proposed method outperforms the conventional methods not only on subjective evaluation but on objective criteria.

• Proceedings of the IEEK Conference
• /
• 2001.09a
• /
• pp.677-680
• /
• 2001

본 논문에서는 컬러 장치들간에 색을 일치시키기 위하여 휘도 대비와 채도 향상을 고려한 원형 색역 사상(circular shape-based gamut mapping)방법을 제안하였다. 서로 다른 장치들간에 색역을 일치시키기 위해 장치 독립적이고 균등 색 공간인 CIELAB값으로 변환하여 색역 사상을 수행하였다. 인간 시각에 상대적으로 민감한 특성을 가지는 휘도 성분을 JND(just noticeable difference)에 기반해 분할하고, 이를 기점으로 색역을 원의 형태로 나눈다. 이렇게 나뉜 색역은 사상의 방향성을 결정하는 기본 단위로 사용되어, 이들 영역을 기점으로 영역 대 영역별 사상 방법을 사용하였다. 제안한 색역 사상 방법을 모니터와 프린터간에 적용한 결과 보다 선명하고 휘도 대비가 높은 영상을 얻을 수 있었다.

• Environmental engineer
• /
• v.22 s.232
• /
• pp.2-6
• /
• 2005

"기업은 수익률 향상을 위해 계속적인 투자를 해야 합니다." 최근 새 사옥을 마련하여 지속적인 투자를 아끼지 않는 (주)산업공해연구소 이기채 대표이사는 사업의 성공은 재투자에 있다고 강조한다. 소위 환경분야 1세대하고 일컬어지는 1960년대에 국내 환경을 위해 초석을 다진 이 대표는 당시의 상황을 소상히 소개한다. 그는 당시의 회상하며 우리의 환경리더들의 발자취를 일일이 열거했다. 본지는 지난달 16일 새사옥으로 이전한 (주)산업공해연구소 이기채 대표이사를 만나 그의 환경분야 외길 36년사를 들어봤다. 다음은 이 대표와의 인터뷰 내용이다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.49 no.1
• /
• pp.88-96
• /
• 2012

According to development of technology for media, observers try to watch the realities from images, as follows, 3D imaging has been extremely developed. 3D image gives depth in the image, observers feel in nature. Different image perception from left and right eyes make the 3D image. Anaglyph which is one of the ways to make an image of three dimensions is for obtaining an image of three dimensions by using color filter glasses. Anaglyph has a little amount of calculation and is easy to make, and it has a good point that anaglyph can be used in more wide field because it can create an image of three dimensions to the output of print like printed matter. However, the phenomenon of retinal rivalry can cause a feeling of fatigue because a difference of brightness of the left image and the right image happen. The way to reduce this problem is made by cutting down a difference of brightness. In the result, retinal rivalry can be reduced. We reduced a difference of the brightness of the left and the right image by utilizing the brightness and average of the original image to reduce retinal rivalry and we made better colors of anaglyph by using the way that we keep the hue caused by a change of brightness and supplement saturation about color distortion which is created at that time.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.45 no.1
• /
• pp.1-10
• /
• 2008

Coloriztion algorithms, which hide color information into gray images and find them to recover color images, have been developed recently. In these methods, it is important to minimize the loss of original information while the color components are embedded and extracted. In this paper, we propose a colorization method using a wavelet packet transform in order to embed color components with minimum loss of original information. In addition, the compensation processing of color saturation in the recovered color images is achieved. In the color-to-gray process, an input RGB image is converted into Y, Cb, and Cr images, and a wavelet packet transform is applied to the Y image. After analyzing the amounts of total energy for each sub-band, color components are embedded into two sub-bands including minimum amount of energy on the Y image. This makes it possible not only to hide color components in the Y image, but to recover the Y image with minimum loss of original information. In the gray-to-color process, the color saturation of the recovered color images is decreased by printing and scanning process. To increase color saturation, the characteristic curve between printer and scanner, which can estimate the change of pixel values before and after printing and scanning process, is used to compensate the pixel values of printed and scanned gray images. In addition, the scaling method of the Cb and Cr components is applied to the gray-to-color process. Through the experiments, it is shown that the proposed method improves both boundary details and color saturation in the recovered color images.