• 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.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.392-393
• /
• 2018

컬러 사진을 흑백으로 바꿔 데이터 셋을 구축해 CNN 모델을 트레이닝 시킨다. HSI 컬러 모델에서 흑백 사진으로부터 밝기 값은 알고 있음으로, 나머지 두 컬러 영역 색상, 채도를 CNN 모델이 추측하도록 학습을 시켜, 흑백사진으로부터 컬러 사진을 만들어낸다. 이 기술을 채색이 안된 불교 미술 그림에 적용하여 채색을 시키는 것에 대한 연구를 진행하였다.

• Journal of Industrial Technology
• /
• v.23 no.A
• /
• pp.199-206
• /
• 2003

The charcoal-encapsulated methyl silica microcapsules were prepared by a O/W microemulsion sol-gel method, and the adsorption properties on aquatic humic acid were investigated. The capsules prepared were spherical, $100{\sim}1000{\mu}m$ in size. The size distribution was controllable by adjusting the size of charcoal powder, charcoal/methyl silica ratio, and agitating speed in O/W sol-gel process. Adsorption efficiency of charcoal for aquatic humic acid was decreased after encapsulation by methyl silica shell. The decreased adsorption efficiency can be dependent on the decrease of the BET surface area and pore volume after encapsulation. Diffusion properties of humic acid through the capsule shell also played an important role on adsorption efficiency. Therefore, the reasonable target pollutants for the capsules can be VOC or odor molecules which can overcome diffusion barrier through shell of capsules in air condition. Functionalization methods for the charcoal-encapsulated $CH_3(SiO)_n$ microcapsules by incorporation of $TiO_3$ as a phtocatalytic function and by incorporation of inorganic pigment as a color function were also investigated. $TiO_2$ coating properties were controllable by adjusting pH, temperature, and the concentration of $TiOSO_4$. In XRD measurement, the crystal form of the coated $TiO_2$ was anatase. For the colorization of the capsules, inorganic pigments were more efficient than organic dyes, and various color was introduced to the capsules using inorganic pigments.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.44 no.1
• /
• pp.125-132
• /
• 2024

Optical satellite images are being used for national security and collection of information, and their utilization is increasing. However, it acquires low-quality images that are not suitable for the user's requirement due to weather conditions and time constraints. In this paper, a deep learning-based conversion of image and colorization model referring to high-resolution SAR images was created to simulate the occluded area with clouds of optical satellite images. The model was experimented according to the type of algorithm applied and input data, and each simulated images was compared and analyzed. In particular, the amount of pixel value information between the input black-and-white image and the SAR image was similarly constructed to overcome the problem caused by the relatively lack of color information. As a result of the experiment, the histogram distribution of the simulated image learned with the Gray-scale image and the high-resolution SAR image was relatively similar to the original image. In addition, the RMSE value was about 6.9827 and the PSNR value was about 31.3960 calculated for quantitative analysis.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2008.11a
• /
• pp.207-210
• /
• 2008

채색화는 흑백 영상에 색 정보를 추가하거나 영상의 색을 변환하는 영상 개선 기법이다. 본 연구는 최소한의 사용자 개입을 통해 흑백 영상을 자연스러운 칼라 (color) 영상으로 전환하는 채색화 기법을 제안한다. 우리는 우선 자연스러운 채색 결과를 위한 채색화 함수를 정의한다. 제안하는 채색화 함수는 유사한 밝기 정보를 가지는 이웃 픽셀들은 비슷한 색 정보를 가질 확률이 높다는 간단한 가정 하에 MRF (Markov Random Field)에 기반하여 모델링한다. 채색화 함수에 의해 색이 전체적으로 자연스럽게 분포될 수 있도록, 확산 신뢰도를 정의한 후 신뢰도에 따라 채색 순서를 결정한다. 이후, 채색 순서에 따라 각 픽셀에 채색화 함수를 적용하여 자연스러운 채색 결과를 도출한다. 실험 결과에서 보듯이, 제안 기법은 적은 색상 정보의 입력을 통해 효과적으로 채색화 하며, 기존 기법에 비해 자연스러운 결과를 제시한다.

• Journal of the Korean Ceramic Society
• /
• v.47 no.3
• /
• pp.237-243
• /
• 2010

This research examines using Rice Husk Ash, $Cr_2O_3$ in producing the pink-red color. It studies the formation of cassiterite and malayaite crystallites, the primary factors in producing the pink-red color, in relation to the application of $Cr_2O_3$ to examine its coloring mechanism. In addition, the research intends to identify the optimum synthesizing temperature and maintaining time for crystallization of malayaite, a stable pink-red colorization factor in high temperature glaze during $Cr_2O_3$-$SnO_2$-CaO-$SiO_2$ family pigment synthesis. The optimum substituting contents is Rice Husk Ash : Quartz = 1 : 2, and the optimum temperature is suggested at $1300^{\circ}C$ for 2 h based on analysis results by XRD, FT-IR, Raman microscope, SEM and UV-vis.

• Journal of the Korean Ceramic Society
• /
• v.52 no.3
• /
• pp.197-203
• /
• 2015

The colorization of $Zn_2SiO_4$ crystal glazes was investigated by adding nucleating seeds with various coloring agents. The addition of color fixing agents such as $Fe_2O_3$, $MnO_2$, and NiO with seeds caused changes in the colors of glazes. The crystallinity and crystal size were dependent on glaze composition and firing schedules. By controlling coloring agents and firing schedules, it was possible to create various colors and sizes of crystals in a zinc-based crystalline glaze.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2013.08a
• /
• pp.90.1-90.1
• /
• 2013

Nature utilizes various of the colorization process. Some species of birds can express their mood of tempers by changing their collagen structures on skin. For example, turkey can change their skin color by expansion of the collagen structures, which are associated with the distinct color changes. Here, we developed bioinspired virus-based colorimetric sensors which can be genetically tuned for target molecule. Using M 13 bacteriophage, we fabricated responsive self-assembled color matrices composed of quasi-ordered fiber bundle structures. These virus matrices can exhibit color change by stimuli through fiber bundle structure modulation. Upon exposure of volatile organic compounds, the resulting multi-colored matrices exhibited distinct color changes with different ratios that can be recognized by the naked eyes. Using the directed evolutionary approaches, we genetically engineered the virus matrix to incorporate binding motif for explosive detection (i.e., trinitrotoluene (TNT)). Through utilizing a common handheld device (i.e., iPhone), we could distinguish TNT molecules down to 20 ppb in a selective manner. Our novel biomimetic virus colorimetric sensor can overcome current limitation for low response selectivity.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.415-418
• /
• 2019

본 논문에서 grayscale 이미지를 그럴듯한 컬러 이미지로의 전환을 다루고자 한다. 기존의 CNN Network 를 통해 실제 Image 를 만들어내려는 기법들은 모든 Pixel 의 Error 를 Loss 로 사용한다. 각 픽셀별로 가장 완벽한 답을 찾으려고 하기보다는, 전체 픽셀의 관점에서의 Loss 를 줄이려고 하기 때문에, 픽셀 값이 정확한 값대신 안전한 값으로 넘어간다는 단점이 있다. 이 문제를 해결하기 위해 본 논문에서 GAN 기반의 Image-to-Image Translation 기법에 NIN(Network in Network) 적용해 이 문제를 해결할 수 있음을 보인다. 전통 CNN 기법보다 더 Photo-realistic 한 이미지를 생성할 수 있게 된다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.1016-1018
• /
• 2019

흑백 1채널 이미지를 3 채널 이미지로 색상화하고 Super-Resolution하여 의미 있는 정보 얻도록 한다. CCTV, 군사용 카메라, 차량용 블랙박스 등 많은 분야에서 주간에 촬영된 영상은 컬러 이미지로 많은 정보를 얻을 수 있다. 하지만 야간에 촬영된 영상은 빛이 없어서 영상에서 정보를 얻기가 원활하지 않다. 따라서 DCGAN을 통해 단일 채널의 흑백 이미지를 3채널의 색상화 이미지로 만들고, Super-Resolution 기술을 적용해서 해상도를 높여 가시광선이 없는 야간이나 어두운 공간에서도 의미있는 영상을 얻을 수 있도록 한다.