• Journal of Information Processing Systems
• /
• v.9 no.2
• /
• pp.271-286
• /
• 2013

Recently, a pixel-chaotic-shuffling (PCS) method has been proposed by Huang et al. for encrypting color images using multiple chaotic systems like the Henon, the Lorenz, the Chua, and the Rossler systems. All of which have great encryption performance. The authors claimed that their pixel-chaotic-shuffle (PCS) encryption method has high confidential security. However, the security analysis of the PCS method against the chosen-plaintext attack (CPA) and known-plaintext attack (KPA) performed by Solak et al. successfully breaks the PCS encryption scheme without knowing the secret key. In this paper we present an improved shuffling pattern for the plaintext image bits to make the cryptosystem proposed by Huang et al. resistant to chosen-plaintext attack and known-plaintext attack. The modifications in the existing PCS encryption method are proposed to improve its security performance against the potential attacks described above. The Number of Pixel Change Rate (NPCR), Unified Average Changed Intensity (UACI), information entropy, and correlation coefficient analysis are performed to evaluate the statistical performance of the modified PCS method. The simulation analysis reveals that the modified PCS method has better statistical features and is more resistant to attacks than Huang et al.'s PCS method.

• Ocean and Polar Research
• /
• v.35 no.3
• /
• pp.239-247
• /
• 2013

Digital image processing is a process to analyze a large volume of information on digital images. In this study, Artemia hatching rate was measured by automatically classifying and counting cysts and larvae based on color imaging data from cyst hatching experiments using an image processing technique. The Artemia hatching rate estimation consists of a series of processes; a step to convert the scanned image data to a binary image data, a process to detect objects and to extract their shape information in the converted image data, an analysis step to choose an optimal discriminant function, and a step to recognize and classify the objects using the function. The function to classify Artemia cysts and larvae is optimally estimated based on the classification performance using the areas and the plan-form factors of the detected objects. The hatching rate using the image data obtained under the different experimental conditions was estimated in the range of 34-48%. It was shown that the maximum difference is about 19.7% and the average root-mean squared difference is about 10.9% as the difference between the results using an automatic counting (this study) and a manual counting were compared. This technique can be applied to biological specimen analysis using similar imaging information.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.3
• /
• pp.1058-1070
• /
• 2014

There are two major ways to implement depth estimation, multiple image depth estimation and single image depth estimation, respectively. The former has a high hardware cost because it uses multiple cameras but it has a simple software algorithm. Conversely, the latter has a low hardware cost but the software algorithm is complex. One of the recent trends in this field is to make a system compact, or even portable, and to simplify the optical elements to be attached to the conventional camera. In this paper, we present an implementation of depth estimation with a single image using a graphics processing unit (GPU) in a desktop PC, and achieve real-time application via our evolutional algorithm and parallel processing technique, employing a compute shader. The methods greatly accelerate the compute-intensive implementation of depth estimation with a single view image from 0.003 frames per second (fps) (implemented in MATLAB) to 53 fps, which is almost twice the real-time standard of 30 fps. In the previous literature, to the best of our knowledge, no paper discusses the optimization of depth estimation using a single image, and the frame rate of our final result is better than that of previous studies using multiple images, whose frame rate is about 20fps.

• The Research Journal of the Costume Culture
• /
• v.19 no.6
• /
• pp.1334-1346
• /
• 2011

This study focused on the beoseon, traditional Korean socks that are a fashion item showcasing the beauty of the round hanbok shape. The study utilized the beoseon as an influential design motif and suggested 24 cultural fashion items to which the beoseon can be applied, including neckties, scarves, and T-shirts. For the purposes of this study, Adobe Illustrator CS3 and Adobe Photoshop CS3 were used for the motif design as well as the literature review on traditional beoseon socks. For the basic design motif, two basic forms were taken from the collection of the National Folk Museum of Korea. The key point of the motif development is that it maintains the basic shape of the beoseon but highlights the attractiveness of the Korean image by using repetition, rotation, symmetry and overlap into a new image pattern so that modern and chic images were taken into consideration for each cultural product. For the necktie, the mixed or repeated patterns for each motif were used as is. Alternatively, an oblique line pattern was adopted to express a stable and stylish image. For the T-shirt, a round-neck sleeveless type was designed. T-shirts were unified in the white color to highlight the image from the pattern. For the scarf, two shapes were displayed, square and rectangle. Through mixture of two repeated variation unit patterns for each motif, a splendid and stylish image was revealed along with various layouts.

• English Language & Literature Teaching
• /
• v.12 no.1
• /
• pp.205-220
• /
• 2006

This paper argues how Adrienne Kennedy embodies the features of a black woman's self-identity in Funnyhouse of a Negro. An educated young black woman, Sarah lives in a funnyhouse which is surrounded by mirrors. The reflections in the funnyhouse's mirrors are a metaphor of a black woman's life in America. Sarah's narrative is played out by four "selves," differing by sex and race. These selves imply her mixed cultural heritage. Two white women symbolize white European royalty, Jesus expresses christianity which is the basis of western culture and Lumumba represents Africa. Sarah's desire for whiteness is concentrated on skin color and hair. She longs for pallid skin and straight hair of the white race. Sarah wanted to be white, but her "tainted blood" by her black father made that impossible. Sarah is always obsessed by the fear of her father and the unhappy destiny of her mother. Ceaseless knocking, paralyzed images of lifelessness and surreal dreams effectively show her fear. Sarah's selves remain fragmented in the funnyhouse. Sarah exposures the black woman's anger and frustration through her death. Her death is a gesture of denial and refusal of the dominant society. At the same time, it was her last choice and struggle not to completely lose her own identity.

• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.24-32
• /
• 2006

본 논문에서는 다시점 카메라부터 획득된 부분적인 3D 점군을 사용하여 실내환경의 3D 복원을 위한 새로운 방법을 제안한다. 지금까지 다양한 양안차 추정 알고리즘이 제안되었으며, 이는 활용 가능한 깊이 영상이 다양함을 의미한다. 따라서, 본 논문에서는 일반화된 다시점 카메라를 이용하여 실내환경을 복원하는 방법을 다룬다. 첫 번째, 3D 점군들의 시간적 특성을 기반으로 변화량이 큰 3D 점들을 제거하고, 공간적 특성을 기반으로 주변의 3D 점을 참조하여 빈 영역을 채움으로써 깊이 영상 정제 과정을 수행한다. 두 번째, 연속된 두 시점에서의 3D 점군을 동일한 영상 평면으로 투영하고, 수정된 KLT (Kanade-Lucas-Tomasi) 특징 추적기를 사용하여 대응점을 찾는다. 그리고 대응점 간의 거리 오차를 최소화함으로써 정밀한 정합을 수행한다. 마지막으로, 여러 시점에서 획득된 3D 점군과 한 쌍의 2D 영상을 동시에 이용하여 3D 점들의 위치를 세밀하게 조절함으로써 최종적인 3D 모델을 생성한다. 제안된 방법은 대응점을 2D 영상 평면에서 찾음으로써 계산의 복잡도를 줄였으며, 3D 데이터의 정밀도가 낮은 경우에도 효과적으로 동작한다. 또한, 다시점 카메라를 이용함으로써 수 시점에서의 깊이 영상과 컬러 영상만으로도 실내환경 3D 복원이 가능하다. 제안된 방법은 네비게이션 뿐만 아니라 상호작용을 위한 3D 모델 생성에 활용될 수 있다.

• Journal of Fashion Business
• /
• v.24 no.5
• /
• pp.89-105
• /
• 2020

This study considers aesthetic characteristics by examining red carpet dress in China film festival. The research methods were quantitative and qualitative analysis of red carpet dress images collected from 2015 to 2019 on websites according to four criteria following previous research on red carpet dresses. The results of the study are as follows. First, the analysis of red carpet dress silhouettes showed that A-line silhouettes, slim silhouettes, and mermaid silhouettes appeared. Second, in terms of colors, one color, black, represented a higher proportion of the dress colors than the combination of different colors. Third, soft texture occupied the highest proportion of material textures, and combinations of materials with different textures were also used. In the case of patterns, the proportion of dresses without patterns was high, and natural patterns were found in the largest proportion. Beads and sequins accounted for most of the dress details, and the analysis showed that various detail types such as embroidery, slits, ruffles, and belts were used in the red carpet dresses. The aesthetic characteristics of the red carpet dresses worn at the China film festival were analyzed as sensual, elegant, decorative, and simple.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.11 no.3
• /
• pp.129-135
• /
• 2011

In this paper, we propose the algorithm using optical flow and machine learning-based segmentation for the 3D conversion of 2D video. For the segmentation allowing the successful 3D conversion, we design a new energy function, where color/texture features are included through machine learning method and the optical flow is also introduced in order to focus on the regions with the motion. The depth map are then calculated according to the optical flow of segmented regions, and left/right images for the 3D conversion are produced. Experiment on various video shows that the proposed method yields the reliable segmentation result and depth map for the 3D conversion of 2D video.

• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.3
• /
• pp.27-38
• /
• 2017

This Paper Presents a Method for Stitching a Large Number of Images Recorded by a Large Number of Individual Users Through a Cellular Phone Camera at a Venue. In Contrast to 360 Camera Solutions that Use Existing Fixed Rigs, these Conditions must Address New Challenges Such as Time Synchronization, Repeated Transformation Matrix Calculations, and Camera Sensor Mismatch Correction. In this Paper, we Solve this Problem by Updating the Transformation Matrix Using Time Synchronization Method Using Audio, Sensor Mismatch Removal by Color Transfer Method, and Global Operation Stabilization Algorithm. Experimental Results Show that the Proposed Algorithm Shows better Performance in Terms of Computation Speed and Subjective Image Quality than that of Screen Stitching.

• Journal of Broadcast Engineering
• /
• v.23 no.1
• /
• pp.63-73
• /
• 2018

These days, VR contents are created in three ways: CG based method, game engine based method, and live action shooting method. The most universal method is live action shooting. So far, most live actions are shot with action cams. Therefore, this method is different from professional image production method for movies and TV dramas. This study tries to point out the difference between professional image production method and action cam based shooting method, and proposes an alternative. The proposed method is log shooting based HDR filming and editing. As the result of test shooting and editing, the proposed method was able to obtain more color information than conventional action cam based shooting method and thereby to implement high-definition images which are hard in an action cam.