• Title/Summary/Keyword: hidden image

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An Adaptive Steganography of Optical Image using Bit-Planes and Multi-channel Characteristics

  • Kang, Jin-Suk;Jeong, Taik-Yeong T.
    • Journal of the Optical Society of Korea
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    • v.12 no.3
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    • pp.136-146
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    • 2008
  • We proposed an adaptive steganography of an optical image using bit-planes and multichannel characteristics. The experiment's purpose was to compare the most popular methods used in optical steganography and to examine their advantages and disadvantages. In this paper we describe two digital methods: the first uses less significant bits(LSB) to encode hidden data, and in the other all blocks of $n{\times}n$ pixels are coded by using DCT(Digital Cosine Transformation), and two optical methods: double phase encoding and digital hologram watermarking with double binary phase encoding by using IFTA(Iterative Fourier Transform Algorithm) with phase quantization. Therefore, we investigated the complexity on bit plane and data, similarity insert information into bit planes. As a result, the proposed method increased the insertion capacity and improved the optical image quality as compared to fixing threshold and variable length method.

Printable Image Watermarking Based on Look-Up Table (LUT(Look-Up Table)을 사용한 인쇄 영상의 워터마킹)

  • Chun In-Gook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.4
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    • pp.656-664
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    • 2006
  • In this paper, we introduce a new LUT based watermarking method for a halftone image. Watermark bits are hidden at pseudo-random locations of halftone image in the proposed method. The pixel values of the halftone image are determined from the LUT entry indexed by both the neighborhood halftone pixels and current grayscale value. The LUT is trained by a set of grayscale images and corresponding halftone images. Advantage of the LUT method is that it can be executed very fast compared with other watermarking methods for a halftone image. Therefore, the algorithm can be embedded in a printer. Experiments for real scanned images showed that the method is a feasible method to hide the large amount of data within a halftone image without noticeable distortion and comparing to the DHED method, is almost same in quality but significantly shorten in processing time.

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Development of an Infrared Imaging-Based Illegal Camera Detection Sensor Module in Android Environments (안드로이드 환경에서의 적외선 영상 기반 불법 촬영 카메라 탐지 센서 모듈 개발)

  • Kim, Moonnyeon;Lee, Hyungman;Hong, Sungmin;Kim, Sungyoung
    • Journal of Sensor Science and Technology
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    • v.31 no.2
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    • pp.131-137
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    • 2022
  • Crimes related to illegal cameras are steadily increasing and causing social problems. Owing to the development of camera technology, the miniaturization and high performance of illegal cameras have caused anxiety among many people. This study is for detecting hidden cameras effectively such that they could not be easily detected by human eyes. An image sensor-based module with 940 nm wavelength infrared detection technology was developed, and an image processing algorithm was developed to selectively detect illegal cameras. Based on the Android smartphone environment, image processing technology was applied to an image acquired from an infrared camera, and a detection sensor module that is less sensitive to ambient brightness noise was studied. Experiments and optimization studies were conducted according to the Gaussian blur size, adaptive threshold size, and detection distance. The performance of the infrared image-based illegal camera detection sensor module was excellent. This is expected to contribute to the prevention of crimes related to illegal cameras.

Heterotopia images of fashion space represented on Instagram - Focusing on the case of Ader Space in Korea -

  • Syachfitrianti Gadis Nadia;Se Jin Kim
    • The Research Journal of the Costume Culture
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    • v.31 no.4
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    • pp.467-488
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    • 2023
  • The purpose of this study is to determine the concepts of heterotopic image and fashion space, and the characteristics of fashion space and images from the perspective of fashion brands and users. This study examines the evolution of fashion space and consumers with it, based on Foucault's theory of heterotopia, which refers to spaces that blend contradictory features not typically found within a single physical structure. This is accomplished by employing a single case study of Ader Error's Ader Space, a Seoul-based brand known for its unique approach to presenting and communicating fashion. Based on an analysis of Instagram posts of Ader Error along with the hashtag searches "aderspace" and "adererror", this study categorizes heterotopia from the perspective of fashion brands into three properties: fashion space as a medium for selling fashion products; fashion space as getaway to hybrid fashion practices; and fashion space as an illusionary place to experience fashion. From the user perspective, the heterotopic image of Ader Space portrayed on Instagram is characterized by the image of fashion products in an extraordinary fashion space, the image of a fashion space beyond space and time, and the image of exposing the hidden and the illusion-compensation of fashion space. This study contributes to a heightened understanding of the evolutionary concept of the fashion space.

Detection of Gradual Transitions in MPEG Compressed Video using Hidden Markov Model (은닉 마르코프 모델을 이용한 MPEG 압축 비디오에서의 점진적 변환의 검출)

  • Choi, Sung-Min;Kim, Dai-Jin;Bang, Sung-Yang
    • Journal of KIISE:Software and Applications
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    • v.31 no.3
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    • pp.379-386
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    • 2004
  • Video segmentation is a fundamental task in video indexing and it includes two kinds of shot change detections such as the abrupt transition and the gradual transition. The abrupt shot boundaries are detected by computing the image-based distance between adjacent frames and comparing this distance with a pre-determined threshold value. However, the gradual shot boundaries are difficult to detect with this approach. To overcome this difficulty, we propose the method that detects gradual transition in the MPEG compressed video using the HMM (Hidden Markov Model). We take two different HMMs such as a discrete HMM and a continuous HMM with a Gaussian mixture model. As image features for HMM's observations, we use two distinct features such as the difference of histogram of DC images between two adjacent frames and the difference of each individual macroblock's deviations at the corresponding macroblock's between two adjacent frames, where deviation means an arithmetic difference of each macroblock's DC value from the mean of DC values in the given frame. Furthermore, we obtain the DC sequences of P and B frame by the first order approximation for a fast and effective computation. Experiment results show that we obtain the best detection and classification performance of gradual transitions when a continuous HMM with one Gaussian model is taken and two image features are used together.

Design of Two-Dimensional Robust Face Recognition System Realized with the Aid of Facial Symmetry with Illumination Variation (얼굴의 대칭성을 이용하여 조명 변화에 강인한 2차원 얼굴 인식 시스템 설계)

  • Kim, Jong-Bum;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.7
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    • pp.1104-1113
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    • 2015
  • In this paper, we propose Two-Dimensional Robust Face Recognition System Realized with the Aid of Facial Symmetry with Illumination Variation. Preprocessing process is carried out to obtain mirror image which means new image rearranged by using difference between light and shade of right and left face based on a vertical axis of original face image. After image preprocessing, high dimensional image data is transformed to low-dimensional feature data through 2-directional and 2-dimensional Principal Component Analysis (2D)2PCA, which is one of dimensional reduction techniques. Polynomial-based Radial Basis Function Neural Network pattern classifier is used for face recognition. While FCM clustering is applied in the hidden layer, connection weights are defined as a linear polynomial function. In addition, the coefficients of linear function are learned through Weighted Least Square Estimation(WLSE). The Structural as well as parametric factors of the proposed classifier are optimized by using Particle Swarm Optimization(PSO). In the experiment, Yale B data is employed in order to confirm the advantage of the proposed methodology designed in the diverse illumination variation

Fast Text Line Segmentation Model Based on DCT for Color Image (컬러 영상 위에서 DCT 기반의 빠른 문자 열 구간 분리 모델)

  • Shin, Hyun-Kyung
    • The KIPS Transactions:PartD
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    • v.17D no.6
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    • pp.463-470
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    • 2010
  • We presented a very fast and robust method of text line segmentation based on the DCT blocks of color image without decompression and binary transformation processes. Using DC and another three primary AC coefficients from block DCT we created a gray-scale image having reduced size by 8x8. In order to detect and locate white strips between text lines we analyzed horizontal and vertical projection profiles of the image and we applied a direct markov model to recover the missing white strips by estimating hidden periodicity. We presented performance results. The results showed that our method was 40 - 100 times faster than traditional method.

Detecting and Restoring the Occlusion Area for Generating the True Orthoimage Using IKONOS Image (IKONOS 정사영상제작을 위한 폐색 영역의 탐지와 복원)

  • Seo Min-Ho;Lee Byoung-Kil;Kim Yong-Il;Han Dong-Yeob
    • Korean Journal of Remote Sensing
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    • v.22 no.2
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    • pp.131-139
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    • 2006
  • IKONOS images have the perspective geometry in CCD sensor line like aerial images with central perspective geometry. So the occlusion by buildings, terrain or other objects exist in the image. It is difficult to detect the occlusion with RPCs(rational polynomial coefficients) for ortho-rectification of image. Therefore, in this study, we detected the occlusion areas in IKONOS images using the nominal collection elevation/azimuth angle and restored the hidden areas using another stereo images, from which the rue ortho image could be produced. The algorithm's validity was evaluated using the geometric accuracy of the generated ortho image.

A Study on reversible data hiding using the characteristics of image and solving CZP problem (영상의 특성을 효과적으로 이용하고 CZP 문제를 해결하여 영상에 가역적으로 데이터를 은닉하는 기법에 대한 연구)

  • Jung, Soo-Mok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.1
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    • pp.83-91
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    • 2019
  • In this paper, we have effectively used the surface characteristics and local similarity existing in image, solved the problem that there is no CZP(Closest Zero point) that occurs in a very few images to hide secrete data into cover image by using histogram shift. By applying the proposed technique, it is possible to hide secrete data invisibly into the cover image, extract secrete data from the stego-image with no data loss, and completely restore the original cover image. It is impossible to know whether the secrete data is hidden in the stego-image because the stego-image constructed by applying the proposed technique has a good visual quality that can not distinguish the difference from the cover image. The proposed method is able to hide secrete data at various levels compared to conventional APD(Adjacent Pixel Difference) technique, and hide secrete data up to 25.1% more than APD in cover image.

Gesture Recognition on image sequences (연속 영상에서의 제스처 인식)

  • 이현주;이칠우
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.443-446
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    • 2000
  • 인간은 일상 생활에서 제스처, 표정과 같은 비언어적인 수단을 이용하여 수많은 정보를 전달한다. 따라서 자연스럽고 지적인 인터페이스를 구축하기 위해서는 제스처 인식에 관한 연구가 매우 중요하다. 본 논문에서는 영상 시퀸스의 각 영상들이 가지고 있는 정적인 양이 아닌, 영상과 이웃하는 영상들의 변화량을 수치적으로 측정하고 이를 주성분 분석법(PCA : Principal Component Analysis)과 은닉 마르코프 모델(HMM : Hidden Markov Model)을 이용하여 인식하는 방법을 소개한다.

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