• Journal of the Institute of Convergence Signal Processing
• /
• v.9 no.4
• /
• pp.288-294
• /
• 2008

In this paper, we proposed an algorithm of edge enhancement to improve image visibility of mobile phone camera. For naturally edge enhancement, we grasps edge characteristic in image and applied to the most appropriate enhancement value adaptively about each characteristics. Namely, It applies 2D high pass filter where in the edge characteristics which judge in the first In compliance with the edge condition which is subdivided more with secondary it will be able to apply the process which able to adaptive edge enhancement to improve image visibility. It joins in and it is an existing algorithm that simply a lies 2D high pass filter where and it is identical in the image whole it will be able to improve the side effects of ringing actual condition etc. It considers the effectiveness of the hardware resource with the hardware of the algorithm which is developed and algorithm the maximum simply, it developed and simulation of the algorithm which is proposed it led and algorithm of existing and it compared and is improved the result which it confirmed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.10a
• /
• pp.119-122
• /
• 2007

In this paper, we propose the method of hardware-design for the division operation of image frame-unit processing in mobile phone camera. Generally, there are two types of the data processing, which are the parallel and serial type. The parallel type makes it possible to process in realtime, but it needs significant hardware size due to many comparators and buffer memories. Compare the serial type with the parallel type, the hardware size of the serial type is smaller than the other because it uses only one comparator, but serial type is not able to process in realtime. To use the hardware resources efficiently, we employ the serial divider since frame-unit operation for image processing does not need realtime process. When compared with both in the same bit size and operating frequency, the hardware size of the serial divider is approximately in the ratio of 13 percentage compared with the parallel divider.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.1
• /
• pp.226-232
• /
• 2015

As the age of smart device has come, recently many application services related to smart phone are developing. The LBS(Location Based Service) technique is considered as one of the most important techniques to support location based application services. Usually the smart phone acquires the information of position by using the position recognition systems and sensors such as GPS(Global Positioning System) and G-Sensor. However, since the GPS signal from the satellite can hardly be received in the indoor environments, new LBS techniques for the indoor environment are required. In this paper, to solve the problem a position information transceiver using LED lights and smart phone camera sensor is proposed. We proved the possibility of the proposed positioning system through the experiments in the laboratory for the practical verification.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.38 no.2
• /
• pp.219-225
• /
• 2014

An automatic combination and assembly system for phone-camera lens modules was developed. The system enables the assembly of the relative orientation of the individual lenses making up the lens module. Conventional assembly systems assemble a lens module from eight assembly units. The developed system reduces this number to half by combining each lens and a spacer into a single assembly unit. Also, the number of transfer stages for sequential assembly is minimized without increasing the assembly time. Therefore, high productivity and a footprint that is only about 25 % of that of a conventional assembly system can be realized. The system features a modular design to allow it to cope with rapid changes in the market. Only a few components, such as the picker and guide, need to be replaced for changing to a new assembly model.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.2
• /
• pp.19-25
• /
• 2023

In this paper, we propose a method for improving raw images captured in a low light condition based on deep learning considering the image signal processing. In the case of a smart phone camera, compared to a DSLR camera, the size of a lens or sensor is limited, so the noise increases and the reduces the quality of images in low light conditions. Existing deep learning-based low-light image processing methods create unnatural images in some cases since they do not consider the lens shading effect and white balance, which are major factors in the image signal processing. In this paper, pixel distances from the image center and channel average values are used to consider the lens shading effect and white balance with a deep learning model. Experiments with low-light images taken with a smart phone demonstrate that the proposed method achieves a higher peak signal to noise ratio and structural similarity index measure than the existing method by creating high-quality low-light images.

• Journal of the Korea Convergence Society
• /
• v.8 no.12
• /
• pp.249-255
• /
• 2017

Recently, among smart phone functions, cameras are one of the most popular functions and have become one of the most influential functions for purchasing smartphones. However, the basic camera application of the smart phone has a complicated user environment, which is causing many difficulties for the first time user. In this study, Galaxy S7, which is the newest Galaxy S series among the most used Galaxy S series in Korea, was selected and the usability test of the camera application was limited to shooting and editing sharing functions. As a result, first, improvement of icon graphic and label of text form should be provided at the same time to increase the recognition rate and attention of the icon. Second, it is necessary to simplify the structure and provide an intuitive interface in order to facilitate access to various modes and functions. Third, it is necessary to simplify the provision of personalized customized menus or functions in the development of the camera application because it causes a high failure rate and inconvenience in the special functions which are not widely used.

• Journal of Computing Science and Engineering
• /
• v.5 no.3
• /
• pp.161-166
• /
• 2011

We present a fast algorithm for Korean text extraction and segmentation from subway signboards using smart phone sensors in order to minimize computational time and memory usage. The algorithm can be used as preprocessing steps for optical character recognition (OCR): binarization, text location, and segmentation. An image of a signboard captured by smart phone camera while holding smart phone by an arbitrary angle is rotated by the detected angle, as if the image was taken by holding a smart phone horizontally. Binarization is only performed once on the subset of connected components instead of the whole image area, resulting in a large reduction in computational time. Text location is guided by user's marker-line placed over the region of interest in binarized image via smart phone touch screen. Then, text segmentation utilizes the data of connected components received in the binarization step, and cuts the string into individual images for designated characters. The resulting data could be used as OCR input, hence solving the most difficult part of OCR on text area included in natural scene images. The experimental results showed that the binarization algorithm of our method is 3.5 and 3.7 times faster than Niblack and Sauvola adaptive-thresholding algorithms, respectively. In addition, our method achieved better quality than other methods.

• Journal of Korea Multimedia Society
• /
• v.17 no.4
• /
• pp.506-513
• /
• 2014

In recent years, research on user's activity recognition using a smart phone has attracted a lot of attentions. A smart phone has various sensors, such as camera, GPS, accelerometer, audio, etc. In addition, smart phones are carried by many people throughout the day. Therefore, we can collect log data from smart phone sensors. The log data can be used to analyze user activities. This paper proposes an approach to inferring a user's physical activities based on the tri-axis accelerometer of smart phone. We propose recognition method for four activity which is physical activity; sitting, standing, walking, running. We have to convert accelerometer raw data so that we can extract features to categorize activities. This paper introduces a recognition method that is able to high detection accuracy for physical activity modes. Using the method, we developed an application system to recognize the user's physical activity mode in real-time. As a result, we obtained accuracy of over 80%.

• The Journal of the Korea Contents Association
• /
• v.16 no.12
• /
• pp.19-26
• /
• 2016

Among the various services for mobile banking, user authentication method using bank security card is still very useful. We can use mobile banking easily and safely in case of saving encoded security codes in smart phone and entering codes automatically whenever user authentication is required without bank security card. In this paper automatic recognition algorithm of security codes of bank security card is proposed in oder to enroll the encoded security codes into smart phone using smart phone camera. Advanced adaptive binarization is used for extracting digit segments from various background image pattern and adaptive 2-dimensional layout analysis method is developed for segmentation and recognition of damaged or touched digits. Experimental results of proposed algorithm using Android and iPhone, show excellent security code recognition results.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2013.05a
• /
• pp.701-702
• /
• 2013