• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2363-2366
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• 2003

With the increasing use of multimedia technologies, image compression requires higher performance as well as new features such as embedded Tossy to lossless coding, various progressive order, error resilience and region-of-interest coding. In the specific area of still image encoding, a new standard, the JPEG2000, has been currently developed. This paper presents a new compression scheme based on JPEG2000. In the proposed scheme, gray coding is applied to the wavelet coefficient. Since gray coding produces an image whose bit plane is will clustered. The proposed method improves compression efficiency of the JPEG2000.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.9-11
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• 2006

This paper presents JPEG quantization table design using RD optimization and neural network. Using R-D optimization, quantization table with good performance can be obtained. However, it is time-consuming and difficult to adopt to embedded systems. In this paper, a new quantization table design method is proposed using R-D optimization and neural network. Neural network learns the quantization table obtained from R-D optimization and produces a quantization table for the Images. The proposed system is applied to Yale face data. From the simulation results, it has been shown that the proposed codec has better performance than JPEG.

• Proceedings of the KOSOMBE Conference
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• v.1992 no.11
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• pp.29-33
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• 1992

We examine the compression performance of two irreversible (lossy) compression techniques, ADCT-VQ (Adaptive Discrete Cosine Trandform - Vector Quantization) and JPEG (Joint Photographic Experts group) which are basis of medical image information systems. Under the same compression ratio, MSE(Mean Square Error) is 0.578 lower in JPEG than in ADCT-VQ while SNR(Signal to Noise Ratio) is 1.236 dB higher in JPEG than in ADCT-VQ.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.945-958
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• 2017

This paper proposes a novel method of reversible data hiding in JPEG images. After analyzing the JPEG features, we provide a new algorithm of selecting appropriate blocks and coefficients to carry secret messages. Instead of embedding data into the histogram of all coefficients, we propose a strategy of ordered embedding to hide data by histogram shifts in several rounds. On the recipient end, secret messages can be exactly extracted, and the original JPEG image can be losslessly recovered. Experimental results show that high embedding rate can be achieved with limited distortions. Most importantly, the marked JPEG file generated by the proposed method requires less storage size than state-of-the-art works.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5547-5562
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• 2016

JPEG-LS is an international standard for lossless or near-lossless image-compression algorithms. In this paper, a simple method is proposed to improve the performance of the lossless JPEG-LS algorithm. With respect to JPEG-LS and its supplementary explanation, Golomb-Rice (GR) coding is mainly used for entropy coding, but it is not used for long codewords. The proposed method replaces a set of long codewords with a set of shorter location map information. This paper shows how efficiently the location map guarantees reversibility and enhances the compression rate in terms of performance. Experiments have also been conducted to verify the efficiency of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.4
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• pp.1790-1806
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• 2016

Digital image encryption is widely used for image data security. JPEG standard compresses image with great performance on reducing file size. Thus, to encrypt an image in JPEG format we should keep the quality of original image and reduced size. This paper proposes a JPEG image encryption scheme based on quantized DC and non-zero AC coefficients inner category scrambling. Instead of coefficient value encryption, the address of coefficient is encrypted to get the address of cipher text. Then 8*8 blocks are shuffled. Chaotic iteration is employed to generate chaotic sequences for address scrambling and block shuffling. Analysis of simulation shows the proposed scheme is resistant to common attacks. Moreover, the proposed method keeps the file size of the encrypted image in an acceptable range compared with the plain text. To enlarge the cipher text possible space and improve the resistance to sophisticated attacks, several additional procedures are further developed. Contrast experiments verify these procedures can refine the proposed scheme and achieve significant improvements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2723-2740
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• 2017

Steganographic schemes which are based on minimizing an additive distortion function defined the overall impacts after embedding as the sum of embedding costs for individual image element. However, mutual impacts during embedding are often ignored. In this paper, an adaptive JPEG steganographic method based on weight distribution for embedding costs is proposed. The method takes mutual impacts during embedding in consideration. Firstly, an analysis is made about the factors that affect embedding fluctuations among JPEG coefficients. Then the Distortion Update Strategy (DUS) of updating the distortion costs is proposed, enabling to dynamically update the embedding costs group by group. At last, a kind of adaptive JPEG steganographic algorithm is designed combining with the update strategy and well-known additive distortion function. The experimental result illustrates that the proposed algorithm gains a superior performance in the fight against the current state-of-the-art steganalyzers with high-dimensional features.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.89-92
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• 2006

본 논문에서는 SystemC를 이용하여 데이터를 압축하는 JPEG의 인코더와 디코더 구현에 대하여 기술한다. SystemC는 SoC의 설계생산성을 높이기 위해 high-level abstraction에 기반하여 시스템을 모델링하고 명시하는 시스템 수준 설계 언어이고, JPEG은 DCT와 Huffman 코드를 이용하여 정지영상 정보를 압축하는 알고리즘이다. 설계된 JPEG 인코더와 디코더 모듈의 동작을 검증하기 위하여 인코더 모듈에 $16{\times}16$ 크기의 픽셀 RGB 데이터를 입력하고, 디코더 모듈에 인코더 모듈의 출력을 입력으로 연결하여 최종 출력되는 데이터를 비교 및 분석하여 확인하였다.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2803-2805
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• 2002

멀티미디어의 표준화에 대한 관심이 컴퓨터, 방송, 통신 등의 분야에서 더욱 높아지고 있다. JPEG2000 표준안은 영상 부호화에 따른 새로운 형태의 영상압축 뿐만 아니라 높은 성능에 부응하고자 하는 것으로 기존의 표준안보다 왜곡율과 특정부분의 영상품질을 한 차원 상승시킬 수 있어서 효율적인 면에서 더욱 우수하다. 영상의 손실 및 무손실 압축, 대용량 영상압축, 그리고 화소의 정밀도와 해상도의 차이에 의한 점진적 전송이나 관심영역의 지정과 처리 등이 그 특징특이다 JPEG2000 표준안은 인터넷, 컬러 팩시밀리, 인쇄, 스캐닝, 디지털 사진, 원격 감지, 휴대기기 등과 의료 영상 디지털 도서관, 전자 상거래 등에 다양하게 응용할 수 있다. 본 논문은 JPEG2000 표준안의 최신동향과 전반적인 기술내역에 대하여 설명하고 영상압축 효율과 화질, 그리고 처리 속도 등을 기존 알고리즘과 비교하여 그 기술적 특징을 실험을 통하여 비교 제시한다.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.797-798
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• 2006

In this paper, a codec design method is pro-posed for the face images based on JPEG and its application to face recognition is presented. Quantization table design is dis-cussed using R-D optimization for Yale face data. For the usage in the embedded systems, fast codec design is also considered. The proposed codec has better performance than JPEG codec for face images. Through the recognition experiment using PCA and LDA, it has been shown that the proposed codec has better performance than JPEG codec.