• Title/Summary/Keyword: JPEG compression algorithm

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A Still Image Compression Algorithm based on JPEG Systems (JPEG 시스템을 기반으로 한 정지 영상 압축 알고리즘)

  • 이철원;임인칠
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.7
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    • pp.9-15
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    • 1994
  • This paper proposes a image compression algorithm which stores and transmites image data efficiently. The proposed compression algorithm modify enhances compression rate by modified ZIG-ZAG Scanning in JPEG standard algorithm which is based on 2D-DCT. And the up-compatible method of proposed algorithm can solve compatible problem with JPEG that is cased by modified ZIG-ZAG Scanning. And this paper presentes a block diagram of hardware for real-time processing.

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A New Embedded Compression Algorithm for Memory Size and Bandwidth Reduction in Wavelet Transform Appliable to JPEG2000 (JPEG2000의 웨이블릿 변환용 메모리 크기 및 대역폭 감소를 위한 새로운 Embedded Compression 알고리즘)

  • Son, Chang-Hoon;Song, Sung-Gun;Kim, Ji-Won;Park, Seong-Mo;Kim, Young-Min
    • Journal of Korea Multimedia Society
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    • v.14 no.1
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    • pp.94-102
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    • 2011
  • To alleviate the size and bandwidth requirement in JPEG2000 system, a new Embedded Compression(EC) algorithm with minor image quality drop is proposed. For both random accessibility and low latency, very simple and efficient hadamard transform based compression algorithm is devised. We reduced LL intermediate memory and code-block memory to about half size and achieved significant memory bandwidth reductions(about 52~73%) through proposed multi-mode algorithms, without requiring any modification in JPEG2000 standard algorithm.

Image-adaptive Lossless Image Compression (영상 적응형 무손실 영상 압축)

  • 원종우;오현종;장의선
    • Journal of Broadcast Engineering
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    • v.9 no.3
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    • pp.246-256
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    • 2004
  • In this paper, we proposed a new lossless image compression algorithm. Lossless image compression has been used in the field that requires the accuracy and precision. Thus, application areas using medical unaging, prepress unaging, image archival systems, precious artworks to be preserved, and remotely sensed images require lossless compression. The compression ratio from lossless image compression has not been satisfactory, thus far. So, new method of lossless image compression has been investigated to get better compression efficiency. We have compared the compression results with the most typical compression methods such as CALIC and JPEG-LS. CALIC has shown the best compression-ratio among the existing lossless coding methods at the cost of the extensive complexity by three pass algorithm. On the other hand, JPEG-LS's compression-ratio is not higher than CALIC, but was adopted as an international standard of ISO because of the low complexity and fast coding process. In the proposed method, we adopted an adaptive predictor that can exploit the characteristics of individual images, and an adaptive arithmetic coding with multiple probability models. As a result, the proposed algorithm showed 5% improvement in compression efficiency in comparison with JPEG-LS and showed comparable compression ratio with CALIC.

Comparison of JPEG and wavelet compression on intraoral digital radiographic images (구내디지털방사선영상의 JPEG와 wavelet 압축방법 비교)

  • Kim Eun-Kyung
    • Imaging Science in Dentistry
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    • v.34 no.3
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    • pp.117-122
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    • 2004
  • Purpose : To determine the proper image compression method and ratio without image quality degradation in intraoral digital radiographic images, comparing the discrete cosine transform (DCT)-based JPEG with the wavelet-based JPEG 2000 algorithm. Materials and Methods : Thirty extracted sound teeth and thirty extracted teeth with occlusal caries were used for this study. Twenty plaster blocks were made with three teeth each. They were radiographically exposed using CDR sensors (Schick Inc., Long Island, USA). Digital images were compressed to JPEG format, using Adobe Photoshop v.7.0 and JPEG 2000 format using Jasper program with compression ratios of 5 : 1,9 : 1, 14 : 1,28 : 1 each. To evaluate the lesion detectability, receiver operating characteristic (ROC) analysis was performed by the three oral and maxillofacial radiologists. To evaluate the image quality, all the compressed images were assessed subjectively using 5 grades, in comparison to the original uncompressed images. Results: Compressed images up to compression ratio of 14 : 1 in JPEG and 28 : 1 in JPEG 2000 showed nearly the same the lesion detectability as the original images. In the subjective assessment of image quality, images up to compression ratio of 9 : 1 in JPEG and 14 : 1 in JPEG 2000 showed minute mean paired differences from the original Images. Conclusion : The results showed that the clinically acceptable compression ratios were up to 9 : 1 for JPEG and 14 : 1 for JPEG 2000. The wavelet-based JPEG 2000 is a better compression method, comparing to DCT-based JPEG for intraoral digital radiographic images.

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Multi-mode Embedded Compression Algorithm and Architecture for Code-block Memory Size and Bandwidth Reduction in JPEG2000 System (JPEG2000 시스템의 코드블록 메모리 크기 및 대역폭 감소를 위한 Multi-mode Embedded Compression 알고리즘 및 구조)

  • Son, Chang-Hoon;Park, Seong-Mo;Kim, Young-Min
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.8
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    • pp.41-52
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    • 2009
  • In Motion JPEG2000 encoding, huge bandwidth requirement of data memory access is the bottleneck in required system performance. For the alleviation of this bandwidth requirement, a new embedded compression(EC) algorithm with a little bit of image quality drop is devised. For both random accessibility and low latency, very simple and efficient entropy coding algorithm is proposed. We achieved significant memory bandwidth reductions (about 53${\sim}$81%) and reduced code-block memory to about half size through proposed multi-mode algorithms, without requiring any modification in JPEG2000 standard algorithm.

APBT-JPEG Image Coding Based on GPU

  • Wang, Chengyou;Shan, Rongyang;Zhou, Xiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.4
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    • pp.1457-1470
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    • 2015
  • In wireless multimedia sensor networks (WMSN), the latency of transmission is an increasingly problem. With the improvement of resolution, the time cost in image and video compression is more and more, which seriously affects the real-time of WMSN. In JPEG system, the core of the system is DCT, but DCT-JPEG is not the best choice. Block-based DCT transform coding has serious blocking artifacts when the image is highly compressed at low bit rates. APBT is used in this paper to solve that problem, but APBT does not have a fast algorithm. In this paper, we analyze the structure in JPEG and propose a parallel framework to speed up the algorithm of JPEG on GPU. And we use all phase biorthogonal transform (APBT) to replace the discrete cosine transform (DCT) for the better performance of reconstructed image. Therefore, parallel APBT-JPEG is proposed to solve the real-time of WMSN and the blocking artifacts in DCT-JPEG in this paper. We use the CUDA toolkit based on GPU which is released by NVIDIA to design the parallel algorithm of APBT-JPEG. Experimental results show that the maximum speedup ratio of parallel algorithm of APBT-JPEG can reach more than 100 times with a very low version GPU, compared with conventional serial APBT-JPEG. And the reconstructed image using the proposed algorithm has better performance than the DCT-JPEG in terms of objective quality and subjective effect. The proposed parallel algorithm based on GPU of APBT also can be used in image compression, video compression, the edge detection and some other fields of image processing.

Integrity Authentication Algorithm of JPEG Compressed Images through Reversible Watermarking (가역 워터마킹 기술을 통한 JPEG 압축 영상의 무결성 인증 알고리즘)

  • Jo, Hyun-Wu;Yeo, Dong-Gyu;Lee, Hae-Yeoun
    • The KIPS Transactions:PartB
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    • v.19B no.2
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    • pp.83-92
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    • 2012
  • Multimedia contents can be copied and manipulated without quality degradation. Therefore, they are vulnerable to digital forgery and illegal distribution. In these days, with increasing the importance of multimedia security, various multimedia security techniques are studied. In this paper, we propose a content authentication algorithm based on reversible watermarking which supports JPEG compression commonly used for multimedia contents. After splitting image blocks, a specific authentication code for each block is extracted and embedded into the quantized coefficients on JPEG compression which are preserved against lossy processing. At a decoding process, the watermarked JPEG image is authenticated by extracting the embedded code and restored to have the original image quality. To evaluate the performance of the proposed algorithm, we analyzed image quality and compression ratio on various test images. The average PSNR value and compression ratio of the watermarked JPEG image were 33.13dB and 90.65%, respectively, whose difference with the standard JPEG compression were 2.44dB and 1.63%.

Implement of Integration Compression Environment Using Medical Images

  • Chu, Eun-Hyoung;Park, Mu-Hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.268-272
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    • 2003
  • Large medical images in PACS are compressed for saving storage space and improving network speed. The integrated compression environment was designed and developed for uniting of various compression methods. Various compression algorithm-RLE compression, lossless JEPG, JPEG, was built into it, complying with DICOM. A image compression using DWT was also implemented in it. And a unified algorithm of lossless compression and lossy compression was designed to improve images quality and to make compression ratios high. And integrated compression environment was operating together with a database program for efficient and user-friendly management.

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A SoC design and implementation for JPEG 2000 Floating Point Filter (JPEG 2000 부동소수점 연산용 Filter의 SoC 설계 및 구현)

  • Chang Jong-Kwon
    • The KIPS Transactions:PartA
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    • v.13A no.3 s.100
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    • pp.185-190
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    • 2006
  • JPEG 2000 is used as an alternative to solve the blocking artifact problem with the existing still image compression JPEG algorithm. However, it has shortcomings such as longer floating point computation time and more complexity in the procedure of enhancing the image compression rate and decompression rate. To compensate for these we implemented with hardware the JPEG 2000 algorithm's filter part which requires a lot of floating point computation. This DWT Filter[1] chip is designed on the basis of Daubechies 9/7 filter[6] and is composed of 3-stage pipeline system to optimize the performance and chip size. Our implemented Filter was 7 times faster than software based Filter in the floating point computation.

Compression efficiency improvement on JPEG2000 still image coding using improved Set Partitioning Sorting Algorithm (분할 정렬 알고리즘의 개선을 통한 JPEG2000 정지영상 부호화에서의 압축 효율 개선)

  • Ju Dong-hyun;Kim Doo-young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.5
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    • pp.1025-1030
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    • 2005
  • With the increasing use of multimedia technologies, image compression requires higher performance as well as new functionality. Specially, in the specific area of still image encoding, a new standard, JPEG2000 was developed. This paper proposed Set Partitioning Sorting Algorithm that uses a method to optimized selection of threshold from feature of wavelet transform coefficients and to removes sign bit in LL area on JPEG2000. Experimental results show the proposed algorithm achieves more improved bit rate.