• 한국인터넷방송통신학회논문지
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• 제9권3호
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• pp.37-43
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• 2009

본 논문에서 우리는 이진 이미지에 기초한 정교한 방법을 소개한다. 이 기술은 이진 이미지와 하프톤이미지에 데이터를 저장하는 방법이다. 이진 이미지는 비트맵 이미지고 하프톤 이미지는 제한된 범위를 두 개의 값으로 구성한 이미지다. 이와 같은 이유 때문에, 이러한 이미지는 약간의 수정만으로 이미지의 질이 좋지 않다. 그러므로, 본 논문에서는 이러한 문제를 해결하기 위해, 이진 이미지에 RLE 기법을 적용하였다. 즉, 우리는 이 방법으로 메시지를 은폐하기에 적합한 장소를 찾는 것이 가능하다. 우리는 이진 이미지에 데이터를 은폐하는 새로운 기법을 본 논문에서 제한하였다. 또한, 우리는 PWLC 방법보다 우리가 제안한 알고리즘이 더 우수함을 실험을 통해서 입증하였다.

• 정보통신설비학회논문지
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• 제8권2호
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• pp.78-83
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• 2009

In this paper, a novel method for data hiding into binary images is proposed. Binary image has two tones: black and white. For this reason, it is not easy to hide messages into binary images. PWLC (pair-wise logical computation) is a new method to hide message into binary images. However, it yields images of unacceptable quality and its decoding process is unclear. Therefore, in order to solve this problem, we adopt the run-length method to achieve advanced reversible data hiding. That is, we find a proper region to hide messages to reduce visual degradation. In this paper, we introduce an improved procedure to hide messages into binary images.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.588-591
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• 2009

This paper proposes a reversible information hiding method for binary images. A half of pixels in noisy blocks on cover images is candidate for embeddable pixels. Among the candidate pixels, we select compressive pixels by bit patterns of its neighborhood to compress the pixels effectively. Thus, embeddable pixels in the proposed method are compressive pixels in noisy blocks. We provide experimental results using several binary images binarized by the different methods.

• Current Optics and Photonics
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• 제3권6호
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• pp.548-554
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• 2019

A binary encoding method for grayscale images is proposed to address their unsatisfactory decryption results from joint transform correlator (JTC) encryption systems. The method converts the encryption and decryption of grayscale images into that of binary images, and effectively improves decrypted-image quality. In the simulation, we replaced unencoded grayscale images with their binary encoded counterparts in the JTC encryption and decryption processes, then adopted a median filter to suppress saturation noise while keeping other settings unchanged. Accordingly, decrypted-image quality was clearly enhanced as the correlation coefficient (CC) between a decrypted image and its original rose from 0.8237 to 0.9473 initially, and then further to 0.9937, following the above two steps respectively. Finally, optical experimental results confirmed that the proposed encryption system works correctly.

• Journal of applied mathematics & informatics
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• 제38권5_6호
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• pp.533-545
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• 2020

We initiate and introduce the notion of binary soft mapping, which is defined on collection of binary soft sets named as binary soft class over two initial universes U₁ and U₂ with fixed set of parameters. We also define and study the properties of binary soft images and binary soft inverse images of binary soft sets. Examples and counter examples are also given in support of presented properties. Moreover, these concepts are applied to the problem of medical diagnosis in medical expert systems.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.131-139
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• 2016

Recognition of human motions has become a main area of computer vision due to its potential human-computer interface (HCI) and surveillance. Among those existing recognition techniques for human motions, head detection and tracking is basis for all human motion recognitions. Various approaches have been tried to detect and trace the position of human head in two-dimensional (2D) images precisely. However, it is still a challenging problem because the human appearance is too changeable by pose, and images are affected by illumination change. To enhance the performance of head detection and tracking, the real-time three-dimensional (3D) data acquisition sensors such as time-of-flight and Kinect depth sensor are recently used. In this paper, we propose an effective feature extraction method, called adaptive local binary pattern (ALBP), for depth image based applications. Contrasting to well-known conventional local binary pattern (LBP), the proposed ALBP cannot only extract shape information without texture in depth images, but also is invariant distance change in range images. We apply the proposed ALBP for head detection and tracking in depth images to show its effectiveness and its usefulness.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.842-851
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• 1996

Median filter(MF) has often been applied to color or gray images as a noise fiilter in image processing . Application of MF to binary images was tried in this study. For binary images, MF not only can remove noise but can also work as an indicator showing the dominant color in a region which is called window . Fro example, MF can be used to categorize clusters and to detect interested parts of an object. In other words, MF can also be used to remove unnecessary parts. The function of MF can be intensified by introducing a thresholding value, which is determined by the size of the interested part of an object. This improved MF for binary images is called the modified median filter(MMF), and its applicability to grade produce will be discussed in this paper.

• 한국멀티미디어학회논문지
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• 제1권1호
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• pp.37-44
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• 1998

최근 SGML을 이용한 문서정보와 구축에 관한 연구가 많이 이루어지고 있으나, 현재 운영되고 있는 전자도서관에서는 기존의 출판물 문서를 이진 문서영상으로 스캐닝하여 사용자에게 그대로 서비스하는 방식을 이용하고 있다. 이때, 주로 200dpi로 스캐닝한 문서영상에 대하 TIFF 영상포맷에서의 ITU-T T.6 압축방법을 사용하여 제공하고 있는데, 이진 문서영상의 질 저하 현상과 낮은 압축율로 인해 어려움을 겪고 있다. 이에, 본 연구에서는 문서영상 데이터베이스의 확장성 및 효용성과 서비스 질의 향상성을 고려하여, 문서영상의 스캐닝 해상도는 600dpi가 적당하며, 압축방법은 JBIG이 타당함을 제시하였다. 아울러, 사용자 장비인 모니터와 프린터를 통한 서비스의 특성을 분석하여 이진 문서영상의 해상도를 단계별로 높여 서비스하는 방안을 제시함으로써, JBIG의 단점인 과다한 복구시간 문제를 해결하였다. 대표적인 문서영상들에 대한 실험을 통해, JBIG의 높은 압축율 및 제시된 단계별 서비스 방안의 타당성을 확인하였다.

• Journal of Multimedia Information System
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• 제5권2호
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• pp.131-138
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• 2018

This work describes a binary image based fast Difference of Gaussian (DoG) filter using zero-dimensional (0-d) convolution and state machine look up tables (LUTs) for image and video stitching hardware platforms. The proposed approach for using binary images to obtain DoG filtering can significantly reduce the data size compared to conventional gray scale based DoG filters, yet binary images still preserve the key features of the image such as contours, edges, and corners. Furthermore, the binary image based DoG filtering can be realized with zero-dimensional convolution and state machine LUTs which eliminates the major portion of the adder and multiplier blocks that are generally used in conventional DoG filter hardware engines. This enables fast computation time along with the data size reduction which can lead to compact and low power image and video stitching hardware blocks. The proposed DoG filter using binary images has been implemented with a FPGA (Altera DE2-115), and the results have been verified.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1240-1243
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• 2003

In this paper, an encryption method to share a secret binary image is proposed. It divides the image to be encrypted into an arbitrary number of images and encrypts them using XOR process with different binary random images which was prepared by the means of the XOR process, too. Each encrypted slice image can be distributed to the authenticated ones. However, we transfer the encrypted images to the binary phase masks to strengthen the security power, that means phase masks can not be copied with general light-intensity sensitive tools such as CCDs or cameras. For decryption, we used the Mach-Zehnder interferometer in which linearly polarized two light beams in orthogonal direction, respectively. The experimental result proved the efficiency of the proposed method.