• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.3
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• pp.17-25
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• 1999

This paper proposes a new bit-serial multiplier/divider architecture to reduce the hardware complexity significantly and to maintain the same number of cycles compared with existing architectures. Since the proposed bit-serial multiplier/divider architecture does not extend the number of bits in registers and an adde $r_tractor to calculate a partial product or a partial remainder, the hardware overhead can be greatly reduced. In addition, the proposed architecture can perform an additio $n_traction and a shift operation in parallel and the number of cycles for $\textit{N}$-bit multiplication and division for the proposed circuits is $\textit{N}$ and $\textit{N}$ + 2, repectively. Thus, the number of cycles for multiplication and division is the same compared with existing architectures. The SliM Image Processor employs the proposed multiplier/divider architecture and proves the performance of the proposed architecture.cture.

• The Pure and Applied Mathematics
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• v.11 no.1
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• pp.1-14
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• 2004

Due to the development of computer network and mobile communications, the security in image data and other related source are very important as in saving or transferring the commercial documents, medical data, and every private picture. Nonetheless, the conventional encryption algorithms are usually focusing on the word message. These methods are too complicated or complex in the respect of image data because they have much more amounts of information to represent. In this sense, we proposed an efficient secret symmetric stream type encryption algorithm which is based on Boolean matrix operation and the characteristic of image data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.2175-2190
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• 2011

This paper presents the effects of depth map quantization for multiview intermediate image generation using depth image-based rendering (DIBR). DIBR synthesizes multiple virtual views of a 3D scene from a 2D image and its associated depth map. However, it needs precise depth information in order to generate reliable and accurate intermediate view images for use in multiview 3D display systems. Previous work has extensively studied the pre-processing of the depth map, but little is known about depth map quantization. In this paper, we conduct an experiment to estimate the depth map quantization that affords acceptable image quality to generate DIBR-based multiview intermediate images. The experiment uses computer-generated 3D scenes, in which the multiview images captured directly from the scene are compared to the multiview intermediate images constructed by DIBR with a number of quantized depth maps. The results showed that there was no significant effect on depth map quantization from 16-bit to 7-bit (and more specifically 96-scale) on DIBR. Hence, a depth map above 7-bit is needed to maintain sufficient image quality for a DIBR-based multiview 3D system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6017-6037
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• 2017

In a multi-resolution image encoding system, the image is encoded into a single file as a layer of bit streams, and then it is transmitted layer by layer progressively to reduce the transmission time across a low bandwidth connection. This encoding scheme is also suitable for multiple decoders, each with different capabilities ranging from a handheld device to a PC. In our previous work, we proposed an edge adaptive hierarchical interpolation algorithm for multi-resolution image coding system. In this paper, we enhanced its compression efficiency by adding three major components. First, its prediction accuracy is improved using context adaptive error modeling as a feedback. Second, the conditional probability of prediction errors is sharpened by removing the sign redundancy among local prediction errors by applying sign flipping. Third, the conditional probability is sharpened further by reducing the number of distinct error symbols using error remapping function. Experimental results on benchmark data sets reveal that the enhanced algorithm achieves a better compression bit rate than our previous algorithm and other algorithms. It is shown that compression bit rate is much better for images that are rich in directional edges and textures. The enhanced algorithm also shows better rate-distortion performance and visual quality at the intermediate stages of progressive image transmission.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1791-1794
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• 2003

In this Paper, we propose a new watermarking algorithm for 1-bit image authentication using block operation. Observing 3${\times}$3 block patterns, we find the regions to watermark, We describe a specific scheme how to generate data to embed and find pixels most probably invisible under modifications. We also show the experimental results of proposed algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.562-564
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• 2001

Bit-mapped형태로 저장되어진 측량 정보에서 원하는 정보를 추출하는 것은 여전히 중요하고 해 볼 만한 문제이다. 본 논문에서는 bit-mapped화 된 지도 이미지에서 주어진 두 지점간의 경로를 다양한 종류의 search 기법으로 추적하여 비교 분석하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.270-275
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• 2018

Method for improving the image quality are divided into a tone mapping method and a retinex theory based method. Typical example of the image quality enhancement method using tone mapping method is one using image characteristics like histogram. In this paper, we propose a hardware design of real-time wide dynamic range algorithm based on tone mapping method for image quality enhancement. The proposed method divides the image into the luminance and chroma components and then improves the chroma region based on the variation of the luminance component. Adding to that, it is designed to be compatible with the existing 8-bit signal, using high quality image with 12-bit extended signal according to the desired flow. As a result of simulation, it is confirmed that the image quality is improved, and the hardware design is confirmed that the real-time operations is possible at the maximum frequency at 138.26MHz.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.14-23
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• 2009

This study is to analyze the regional differences of sensibility image of wedding dress design for single women of marriageable age in Ulsan and Seoul. The conclusions of this study were as follows. In silhouette, both of two regions were not significant differences but within the same sensibility image there was a bit of differences. In neckline, reminded sweetheart of pure image, yet those of Ulsan reminded sweetheart of feminine image. Both of two regions reminded V of hard image, boat of feminine image, square of hard image, halter of complex image. But within the same sensibility image there was a bit of differences between two regions. Oval was significant differences between two regions. Subject of Ulsan reminded oval of mature image, yet those of Seoul reminded oval of elegance image. It was reminded ruffle of complex image. Subject of Ulsan reminded china of hard image, yet those of Seoul reminded china of calm image. In material, it was not significant differences between two regions, but within the same sensibility image there was a bit of differences between two regions. In detail, subject of Ulsan reminded ruffle of messy image, yet those of Seoul reminded ruffle of complex image. Both of two areas reminded ribbon of pure image, button of pure image. Subject of Ulsan reminded beads of feminine image, yet those of Seoul reminded beads of pure image. In conclusion, it could be said that there was no major differences in sensibility image for wedding dress design between Ulsan and Seoul.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3823-3840
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• 2020

Recently, auto-encoder has emerged as the most popular method in convolutional neural network (CNN) based image compression and has achieved impressive performance. In the traditional auto-encoder based image compression model, the encoder simply sends the features of last layer to the decoder, which cannot allocate bits over different spatial regions in an efficient way. Besides, these methods do not fully exploit the contextual information under different receptive fields for better reconstruction performance. In this paper, to solve these issues, a novel auto-encoder model is designed for image compression, which can effectively transmit the hierarchical features of the encoder to the decoder. Specifically, we first propose an adaptive bit-allocation strategy, which can adaptively select an importance channel. Then, we conduct the multiply operation on the generated importance mask and the features of the last layer in our proposed encoder to achieve efficient bit allocation. Moreover, we present an additional novel perceptual loss function for more accurate image details. Extensive experiments demonstrated that the proposed model can achieve significant superiority compared with JPEG and JPEG2000 both in both subjective and objective quality. Besides, our model shows better performance than the state-of-the-art convolutional neural network (CNN)-based image compression methods in terms of PSNR.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.4B
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• pp.743-754
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• 2000

In this paper, we propose wavelet transform image compression method using shuffling and bit plane correlation. Proposed method is that original image decompose into multiresolutions using biorthogonal wavelet transform with linear phase response property and decomposed subbands are classified by maximum classification gain. And classified data sets in each subband are quantized using arbitrary set optimum bit allocation method. Quantized data sets in each subband are shuffled and context based bit plane arithmetic encoded .In context based bit plane arithmetic encoding, the context for each subband is not assigned uniformly, but assigned according to maximum correlation direction. Our results are comparable, or superior for some images at low rates, to published state-of-the-art coders.