• Title/Summary/Keyword: Color scaling

Search Result 71, Processing Time 0.033 seconds

Sensory Characteristics and Consumer Acceptance with Cookies Made with Chrysanthemum indicum L. Powder (감국 분말 첨가 쿠키의 관능적 특성 및 소비자 기호도)

  • Lee, Hye-Yeon;Bae, Hyun-Joo
    • The Korean Journal of Food And Nutrition
    • /
    • v.23 no.1
    • /
    • pp.76-83
    • /
    • 2010
  • This study was conducted to analyze sensory characteristics and consumer acceptance with cookies made using various levels(0, 2, 4, 6 and 8% w/w) of Chrysanthemum indicum L. powder. Ten panels assessed sensory characteristics using a 15-point hedonic scale and forty-five consumers evaluated their acceptance based on a 7-point hedonic scale and best-worst scaling. The descriptive analyses reveled that cookie flavor did not differ significantly between the 2% added sample and the control. Cookie color and after taste increased significantly, while hardness, roasted taste, and sweetness taste decreased significantly according to increasing Chrysanthemum indicum L. powder concentration. In addition, the results of consumer acceptance showed that the overall acceptability, appearance, color, flavor, and taste decreased significantly in response to increasing Chrysanthemum indicum L. powder concentration. However, color, flavor, taste and overall acceptance with cookies did not differ significantly differ between the 2% and 4% sample. Additionally, among the cookies made with Chrysanthemum indicum L. powder, the 2% sample received the highest scores. In conclusion, the sensory optimal ratio of Chrysanthemum indicum L. powder was 2% based on the descriptive analysis of sensory characteristics and the consumer-acceptance testing.

Color Constancy Algorithm using the Maximum Luminance Surface (최대휘도표면을 이용한 색 항상성 알고리즘)

  • 안강식;조석제
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.27 no.3A
    • /
    • pp.276-283
    • /
    • 2002
  • This paper proposes a new color constancy algorithm using the maximum luminance surface. This method uses a linear model which represents the characteristics of human visual system. The most important process of linear model is the estimation of the spectral distributions of illumination from an input image. To estimate of the spectral distributions of illumination from an input image, we first estimate spectral distribution functions of reflected light on the brightest surface. Then, we estimate surface reflectance functions corresponding to the maximum luminance surface using a principal component analysis of the given munsell chips. We finally estimate the spectral distributions of illumination in an image. Using an estimated illumination, we recover an image by scaling it regularly for the lightness calibration. From the experimental results, the proposed method was effective in recovering the color images compared with others.

GAN-Based Local Lightness-Aware Enhancement Network for Underexposed Images

  • Chen, Yong;Huang, Meiyong;Liu, Huanlin;Zhang, Jinliang;Shao, Kaixin
    • Journal of Information Processing Systems
    • /
    • v.18 no.4
    • /
    • pp.575-586
    • /
    • 2022
  • Uneven light in real-world causes visual degradation for underexposed regions. For these regions, insufficient consideration during enhancement procedure will result in over-/under-exposure, loss of details and color distortion. Confronting such challenges, an unsupervised low-light image enhancement network is proposed in this paper based on the guidance of the unpaired low-/normal-light images. The key components in our network include super-resolution module (SRM), a GAN-based low-light image enhancement network (LLIEN), and denoising-scaling module (DSM). The SRM improves the resolution of the low-light input images before illumination enhancement. Such design philosophy improves the effectiveness of texture details preservation by operating in high-resolution space. Subsequently, local lightness attention module in LLIEN effectively distinguishes unevenly illuminated areas and puts emphasis on low-light areas, ensuring the spatial consistency of illumination for locally underexposed images. Then, multiple discriminators, i.e., global discriminator, local region discriminator, and color discriminator performs assessment from different perspectives to avoid over-/under-exposure and color distortion, which guides the network to generate images that in line with human aesthetic perception. Finally, the DSM performs noise removal and obtains high-quality enhanced images. Both qualitative and quantitative experiments demonstrate that our approach achieves favorable results, which indicates its superior capacity on illumination and texture details restoration.

Cognitive structure of TV drink advertisement based on multidimensional scaling (다차원척도법으로 알아본 음료 TV광고 인식구조: 주의 속성을 중심으로)

  • Kim, Eun Young;Lee, Hunjae;Chong, Sang Chul
    • Korean Journal of Cognitive Science
    • /
    • v.25 no.1
    • /
    • pp.25-49
    • /
    • 2014
  • Advertisement for one type of product competes against another type using different advertising strategies. It is important to know which factors influence people's perception of the message within the advertisement and their formation of attitudes towards the advertisement. Using multidimensional scaling, this study investigated what main factors were important when people perceive beverage advertisements on TV. A positioning map was constructed based on similarity ratings of 14 drink advertisements. We examined the meaning of the three dimensions of the positioning map by asking a different group of participants to rate on components of attention, attitudes toward advertisements and products, and intention to purchase the product in each advertisement. It was found that three dimensions in the map was attention to content, color, and motion respectively. More importantly, the attentional component to content was related to the attitude of affection and action toward a beverage introduced in advertisement. These results suggest that content-based attention in advertisements induces a positive attitude toward the advertisements.

A study on the color controlled of painter's work (페인트 도장공사의 색관리에 관한 연구)

  • Shim, Myung-Sup;Lee, Hyun-Jeong
    • Journal of the Korea Institute of Building Construction
    • /
    • v.3 no.1
    • /
    • pp.107-114
    • /
    • 2003
  • This study aims to find methods that prevents aging of buildings paint coating and that limits defects in construction. Defects in painting can occur in four stages: pure paint, during painting, after the paint coating has dried, and after some period of time has passed after coating. Paint may become bad due to precipitation of pigments, formation of membranes, and seeding during manufacturing. Therefore, it is important that the paint is well mixed and kept airtight at a cool, dark place. Indents, paint brush strokes, orange peel, separation of colors, and paint running and spreading during the paint work process can be prevented by using high quality materials and applying a high-level of construction method. After the paint coating has dried, boiling, yellowing, poor drying, poor bonding, and/or glen deficiency may occur. These are influenced by the levels of cleanness of the dried product, drying temperature and hydration. Then, when the coating has been left dried for some period of time, cracking, peeling, scaling, swelling, discoloring, and/or rusting may develop due to the ultraviolet and contaminants in the air. Since these defects occur due to inappropriate construction schedule and/or hot and humid condition, one must use weatherproof materials. Furthermore, poor paint color may be caused by contamination in the sample plate, discoloration, and/or discrepancies in colors which are due to material differences, level of glossiness, degree of dispersion, dual color property of metallic colors, precipitation of pigments, etc. One should achieve reduction in construction cost and effectiveness in paint work by limiting contaminations in the construction site and strictly observing to construction regulations.

Eating habits Attributes and oral health behaviors Relating to the Maxillary Anterior Teeth Color (식이습관 및 구강보건 행태와 상악 전치부 색조 관련 특성 비교)

  • Lee, Hye-Eun;Kwon, Soon Suk;Pak, Yeon-Kyung
    • Journal of Technologic Dentistry
    • /
    • v.38 no.1
    • /
    • pp.51-61
    • /
    • 2016
  • Purpose: This study was conducted to find oral health and eating attributes relating to the maxillary anterior teeth color and examine the meaning. Methods: This study aims to prepare the basic data of the teeth color by measuring analyze mode using the color of the maxillary anterior teeth(maxillary central incisor, lateral incisor, canine) of the dental patients as the dental colorimeter. Also, This researcher explained the purpose of this study to dental patients and got agreement of 111 patients(50 men and 61 women). We conducted the survey from 2 March to 25 May, 2015. So the color of total 333 teeth was examined, and eating habit attributes and oral health behaviors were researched. Results: Lightness(L) was significantly high in female compared to male(12, p<0.05), the more often intake of red pepper paste decreased(11, 13) lightness. and the brightness of the 31-40 age group was significantly higher(12, p<0.05) than the group under the age of 20. Red chroma(a) was significantly low in over 50 age group compared to the group under the age of 20(12, p<0.05), and the red chroma(a) of the "received periodic scaling" group was significantly lower(13, p<0.01) than the other group.

Charactor Image Retrieval Using Color and Shape Information (컬러와 모양 정보를 이용한 캐릭터 이미지 검색)

  • 이동호;유광석;김회율
    • Journal of Broadcast Engineering
    • /
    • v.5 no.1
    • /
    • pp.50-60
    • /
    • 2000
  • In this paper, we propose a new composite feature consists of both color and shape information that are suitable for the task of character image retrieval. This approach extracts shape-based information using Zernike moments from Y image in YCbCr color space. Zernike moments can extract shape-based features that are invariant to rotation, translation, and scaling. We also extract color-based information from the DCT coefficients of Cr and Cb image. This approach is good method reflecting human visual property and is suitable for web application such as large image database system and animation because higher retrieval rate has been achieved using only 36 features. In experiment, this method is applied to 3,834 character images. We confirmed that this approach brought about excellent effect by ANMRR(Average of Normalized, Modified Retrieval Rank), which is used in the evaluation measure of MPEG-7 color descriptor and BEP(Bull's Eye Performance), which is used in evaluation measure of shape descriptor in character image retrieval.

  • PDF

Image Dependent Gamut Mapping Using the Variable Anchor Point Based on the change of lightness (휘도값 변화에 기초하여 가변하는 앵커점을 이용한 영상 의존 색역 사상 방법)

  • Kim, Shin-Dong;Kim, Kyeong-Man;Lee, Chae-Soo;Lee, Cheol-Hee;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.36S no.1
    • /
    • pp.38-50
    • /
    • 1999
  • Currently many devices reproduce electronic images in the various ways. However the color that is reproduced in any device is different from the original color due to the difference in the gamut between devices. In this paper, an image dependent gamut mapping method is proposed. This method clips the chroma with compensating for the change of lightness caused by the lightness scaling. The anchor point, which is the center point in the mapping, is set as a lower point by the proposed method than a point by the conventional mapping method. This reduces the color difference between point. In addition, to heighten the color contrast on the constant hue, the different two mapping methods are applied to the printer gamut which is divided in two region, bright region and dark region. Consequently, the printer output image was highly consistent with the corresponding monitor image.

  • PDF

Multi-spectral Vehicle Detection based on Convolutional Neural Network

  • Choi, Sungil;Kim, Seungryong;Park, Kihong;Sohn, Kwanghoon
    • Journal of Korea Multimedia Society
    • /
    • v.19 no.12
    • /
    • pp.1909-1918
    • /
    • 2016
  • This paper presents a unified framework for joint Convolutional Neural Network (CNN) based vehicle detection by leveraging multi-spectral image pairs. With the observation that under challenging environments such as night vision and limited light source, vehicle detection in a single color image can be more tractable by using additional far-infrared (FIR) image, we design joint CNN architecture for both RGB and FIR image pairs. We assume that a score map from joint CNN applied to overall image can be considered as confidence of vehicle existence. To deal with various scale ratios of vehicle candidates, multi-scale images are first generated scaling an image according to possible scale ratio of vehicles. The vehicle candidates are then detected on local maximal on each score maps. The generation of overlapped candidates is prevented with non-maximal suppression on multi-scale score maps. The experimental results show that our framework have superior performance than conventional methods with a joint framework of multi-spectral image pairs reducing false positive generated by conventional vehicle detection framework using only single color image.

A Study on Accelerated Photo-Degradation Test for Lifetime Estimation of Ink-jet Ink (잉크젯 잉크의 수명예측을 위한 광열화 가속시험법에 관한 연구)

  • Koo, Hyun-Jin;Cho, Hang-Won;Ji, Byung-Chul
    • Journal of Applied Reliability
    • /
    • v.15 no.3
    • /
    • pp.154-162
    • /
    • 2015
  • We have performed accelerated photo-degradation test using a 10-Sun level high irradiance $Weather-Ometer^{(R)}$ (10-Sun Ci5000) in an attempt to study acceleration and correlation between accelerated and service conditions for ink-jet ink. The accelerated test was used to predict lifetimes of ink-jet ink through the calculation of scaling factor for intensity of irradiance and duration of usage combined with estimation of lifetime distribution and inverse power model as a life-stress model. The lifetimes and acceleration factors for foreign and domestic inks were compared with each other. The results showed that the failure mechanisms and life-stress models for ink-jet ink were different among the color of ink which means that we might be in need of further study by color of inks.