• Journal of Information Processing Systems
• /
• v.13 no.3
• /
• pp.448-463
• /
• 2017

Multimedia is a ubiquitous and indispensable part of our daily life and learning such as audio, image, and video. Objective and subjective quality evaluations play an important role in various multimedia applications. Blind image quality assessment (BIQA) is used to indicate the perceptual quality of a distorted image, while its reference image is not considered and used. Blur is one of the common image distortions. In this paper, we propose a novel BIQA index for Gaussian blur distortion based on the fact that images with different blur degree will have different changes through the same blur. We describe this discrimination from three aspects: color, edge, and structure. For color, we adopt color histogram; for edge, we use edge intensity map, and saliency map is used as the weighting function to be consistent with human visual system (HVS); for structure, we use structure tensor and structural similarity (SSIM) index. Numerous experiments based on four benchmark databases show that our proposed index is highly consistent with the subjective quality assessment.

• Journal of the HCI Society of Korea
• /
• v.7 no.2
• /
• pp.49-56
• /
• 2012

The camera-based mobile applications such as color, pattern and object reading can improve the living quality of blind people. However currently available camera-based applications are uncomfortable for the blind, since these applications do not reflect accessibility requirements of the blind especially on touch screen. We investigated accessibility requirements about rapidly growing camera-based mobile applications on touch screen devices for the blind. In order to identify accessibility requirements, we conducted a usability testing for color reading applications with three different types of interfaces on Android OS. The results of the usability testing were as follows: (1) users preferred short depth of menu hierarchy, (2) the initial audio help was more useful than just-in-time help, (3) users needed both manual and automatic camera shooting modes although they preferred manual to automatic mode, (4) users wanted the OS supported screen reader function to be turned off during the color reading application was running, and (5) users required tactile feedback to identify touch screen boundary. We designed a new user interface for blind people by applying the identified accessibility requirements. From a usability testing of the new user interface with 10 blind people, we showed that the identified accessibility requirements were very useful accessibility guidelines for camera-based mobile applications.

• Journal of Information Processing Systems
• /
• v.12 no.4
• /
• pp.765-778
• /
• 2016

In watermarking schemes, the discrete wavelet transform (DWT) is broadly used because its frequency component separation is very useful. Moreover, LU decomposition has little influence on the visual quality of the watermark. Hence, in this paper, a novel blind watermark algorithm is presented based on LU transform and DWT for the copyright protection of digital images. In this algorithm, the color host image is first performed with DWT. Then, the horizontal and vertical diagonal high frequency components are extracted from the wavelet domain, and the sub-images are divided into $4{\times}4$ non-overlapping image blocks. Next, each sub-block is performed with LU decomposition. Finally, the color image watermark is transformed by Arnold permutation, and then it is inserted into the upper triangular matrix. The experimental results imply that this algorithm has good features of invisibility and it is robust against different attacks to a certain degree, such as contrast adjustment, JPEG compression, salt and pepper noise, cropping, and Gaussian noise.

• International Journal of Computer Science & Network Security
• /
• v.23 no.4
• /
• pp.48-54
• /
• 2023

Nowadays, a blind man finds it very difficult to cross the roads. They should be very vigilant with every step they take. To resolve this problem, Convolutional Neural Networks(CNN) is a best method to analyse the data and automate the model without intervention of human being. In this work, a traffic signal recognition system is designed using CNN for the visually impaired. To provide a safe walking environment, a voice message is given according to light state and timer state at that instance. The developed model consists of two phases, in the first phase the CNN model is trained to classify different images captured from traffic signals. Common Objects in Context (COCO) labelled dataset is used, which includes images of different classes like traffic lights, bicycles, cars etc. The traffic light object will be detected using this labelled dataset with help of object detection model. The CNN model detects the color of the traffic light and timer displayed on the traffic image. In the second phase, from the detected color of the light and timer value a text message is generated and sent to the text-to-speech conversion model to make voice guidance for the blind person. The developed traffic light recognition model recognizes traffic light color and countdown timer displayed on the signal for safe signal crossing. The countdown timer displayed on the signal was not considered in existing models which is very useful. The proposed model has given accurate results in different scenarios when compared to other models.

• Science of Emotion and Sensibility
• /
• v.11 no.1
• /
• pp.113-122
• /
• 2008

This study surveyed the physical properties of the domestic and foreign worsted fabrics which are used for men's garments. For this purpose, forty specimens which were divided into 1st fourteen specimens and 2nd twenty six ones were prepared and the physical property assessment by Blind field test was carried out by test committee. The subjective test items by Blind field test were chosen as handle(softness, flexibility), color(brightness, deepness), appearance(cleanness, natural lustre) and comparison priority.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.23 no.2
• /
• pp.139-146
• /
• 2020

The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.

• Korean Journal of Human Ecology
• /
• v.22 no.6
• /
• pp.673-686
• /
• 2013

The purpose of this study is to identify consumer needs and sensory evaluation of jacquard fabrics for blind using low melting polyester. Ten kinds of jacquard fabric used for this study were developed. Developed jacquard fabrics were assessed subjectively by 164 consumers using 7-point scale of 22 consumer needs and 43 sensory descriptors. The results were briefly summarized as follows: the most important parameter to choose fabric for blind was 'Easy-use' and the other parameters are 'Lightproof', 'UV-protect', 'Design', 'Price', 'Color', 'Insulation', 'Easy-care'. The image sensibility of jacquard fabrics was explained by six factors: feminine, active, modern, traditional, pure, cozy. Higher preference was found in jacquard fabrics of clear, natural, luxurious, simple, feminine, young, cozy, graceful image. The preference was predicted 38.2% with feminine, modern, pure, cozy, traditional factors. Correlation coefficient between image sensibility factor 1 and preference was 0.437. The 3 factors (feminine, modern, pure)were selected as significant image sensibility affecting preference.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.8
• /
• pp.1407-1413
• /
• 2006

The field of medical images has been digitalized as the development of computer and the digitalization of the medical instruments. As a result it causes a lot of problems such as an illegal copy related to medical images and property right of the medical images. Therefore, digital watermarking is used for discrimination whether the data are modified or not. It is also used to protect both the property right of medical images and the private life of many patients. The proposed theories, the Non-blind and the Blind method, have two problems. One is needed an original image and the other is using a gaussian watermarking. This paper proposes the new Blind Watermarking using binary images in order to easily recognize the results of watermark. This algorism is described that an watermark of a binary image is wavelet-transformed, and then a transformed watermark is inserted in medium-band of frequency domains of original image by the Circular Input method. This method don't have any loss when image didn't have any attack. As a result Watermark can be perfectly extracted by using this algorithm. And Maximam PSNR value is improved 3.35dB. This algorithm will be improved by using gray level image and color image.

• Food Quality and Culture
• /
• v.1 no.1
• /
• pp.34-39
• /
• 2007

The effects of pressure cooker brand awareness, in terms of rice cooking performance, were evaluated using consumer acceptability tests. A blind test was performed using rice samples cooked by 3 different pressure cookers without any brand information, and a brand awareness test followed with the same informed consumer panel. Overall acceptability, glossiness, stickiness, hardness, flavor, and color were evaluated and compared to determine whether or not there were changes on consumer choice for acceptability. Brand A and brand B were not significantly different in their overall acceptability, moisture content, flavor, or color (p > 0.05), but they were significantly different for glossiness, stickiness, and hardness. Brands A and C were significantly different for all the attributes (p < 0.05). In the brand awareness test, brands A and B were not significantly different in their liking scores for all the attributes (p > 0.05). Brand C had significantly lower liking scores for overall acceptability, glossiness, stickiness, hardness, and moisture content than the other brands (p < 0.05). When comparing the liking scores for all the attributes with those of the blind test, the scores of the brand awareness test were slightly higher. For brand A, there were changes in its liking scores for overall acceptability, flavor, and glossiness (p < 0.05). However, brands B and C had brand awareness effects for all the attributes (p < 0.05).

• Korean Journal of Ichthyology
• /
• v.26 no.3
• /
• pp.185-193
• /
• 2014

To find the influence of water temperature, tank color and illumination in feeding, growth and blind-side hypermelanosis of starry flounder, Platichthys stellatus, in the present study, we performed a series of temperature, background color and illumination intensity test for 180 days (From June to December). The test was done in duplicate at 100 fish/tank (430% of initial covering area [PCA]) with the selected ordinary juvenile flounder (TL $17.3{\pm}0.5cm$, BW $82.5{\pm}0.2g$). The rearing was performed in darkgreen FRP aquarium tanks ($H100cm{\times}L100cm{\times}W100cm$; bottom area $1m^2$) lighten with average 1,000 lux and 230 lux, and in white FRP aquarium tank ($H100cm{\times}L100cm{\times}W100cm$; bottom area $1m^2$) lighten with average 230 lux of light intensity. We investigated correlation of daily food intake (DFI) with water temperature and salinity, and compared the influences of background colors and light intensity in DFI, food efficiency (FE), growth, survival rate, and ratio of malpigmented blind-side area and ambicolored fish ratio. In DFI, although it was not related with salinity, the amount was significantly decreased under 0.5 g/fish/day in summer and winter season, but was significantly increased over 1.5 g/fish/day in autumn season showing from $10^{\circ}C$ to $20^{\circ}C$ in water temperature. In background and illumination test, DFI, FE and survival rate showed no difference among three groups. The ratios of malpigmented blind-side area and ambicolored fish were also not significantly different among three groups, indicating that the blind-side hypermelanosis of starry may be governed not by background color (or light intensity) but by a genetics external trait inherited from parents.