• Title/Summary/Keyword: compression coding

Search Result 828, Processing Time 0.036 seconds

Image Coding of Visually Weighted t Discrete Cosine Transform (시각 하중 이산여현변환 영상부호화)

  • 이문호;박주용
    • Journal of the Korean Professional Engineers Association
    • /
    • v.22 no.2
    • /
    • pp.19-25
    • /
    • 1989
  • Utilizing a cosine transform in image compression has several recognized performance benefits, resulting in the ability to attain large compression ratio with small quality loss. Also, various models incorporating Human Visual System (HVS) to Discrete Cosine Trans-form (DCT) scheme are considered. Using the exact frequency components of DCT basis function, the optimum modulation transfer function (MTF) is obtained analytically. The errors at a block boundary which is important factor in transform coder are criteria for error measurement. The HVS weight coding results in perceptually higher quality images compared with the unweighted scheme.

  • PDF

Channel-adaptive Image Compression for Wireless Transmission

  • Lee, Yun-Gu;Lee, Ki-Hoon
    • IEIE Transactions on Smart Processing and Computing
    • /
    • v.6 no.4
    • /
    • pp.276-280
    • /
    • 2017
  • This paper presents computationally efficient image compression for wireless transmission of high-definition video, to adaptively utilize available channel bandwidth and improve image quality. The method indirectly predicts an unknown available channel bandwidth by monitoring encoder buffer status, and adaptively controls a quantization parameter to fully utilize the bandwidth. Experimental results show that the proposed method is robust to variations in channel bandwidth.

A comparative study of transform coding methods for Image compression (영상 압축을 위한 변환 부호화 방식의 비교 연구)

  • Cho, Soon-Kyui;Yang, Seung-In
    • Proceedings of the KIEE Conference
    • /
    • 1988.07a
    • /
    • pp.222-224
    • /
    • 1988
  • In this paper, the transform coding method was selected out of image compression techniques. Each characteristic of transform coefficients for five transform(DCT, DST, WHT, HAT, SLT) was observed, and their performances were compared and reviewed, based on the results from the experiment where image samples were applied to five transform. As the result of image processing experiment, DCT was found to have the best performance.

  • PDF

Digital Hologram Compression Technique using Multi-view Prediction Method (다시점 예측 기법을 이용한 디지털 홀로그램의 압축 기술)

  • Choi, Hyun-Jun;Seo, Young-Ho;Bae, Jin-Woo;Yoo, Ji-Sang;Kim, Dong-Wook
    • Proceedings of the IEEK Conference
    • /
    • 2006.06a
    • /
    • pp.413-414
    • /
    • 2006
  • In this paper, we propose an efficient coding method of digital hologram (or fringe pattern) using multi-view prediction technique based on video and image coding standard such as MPEG. The proposed algorithm illustrates that it has better properties for reconstruction and higher compression rate than the previous researches.

  • PDF

The study of discrete wavelet transform for the coding and the compression of the audio data (이산 웨이브렛 변환을 이용한 Audio 신호의 기호화 및 압축)

  • Baek, Han-Wook;Chung, Chin-Hyun
    • Proceedings of the KIEE Conference
    • /
    • 1998.07g
    • /
    • pp.2262-2264
    • /
    • 1998
  • This paper propose a new method for the discrete signal : Discrete Wavelet Transform(DWT). This paper is a brief introduction to the DWT and applies the DWT coding for the audio data as an example. We can have a number of hint about the compression algorithm of multimedia resources and the high performance of transmission and storage.

  • PDF

A Complexity Reduction Method of MPEG-4 Audio Lossless Coding Encoder by Using the Joint Coding Based on Cross Correlation of Residual (여기신호의 상관관계 기반 joint coding을 이용한 MPEG-4 audio lossless coding 인코더 복잡도 감소 방법)

  • Cho, Choong-Sang;Kim, Je-Woo;Choi, Byeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.47 no.3
    • /
    • pp.87-95
    • /
    • 2010
  • Portable multi-media products which can service the highest audio-quality by using lossless audio codec has been released and the international lossless codecs, MPEG-4 audio lossless coding(ALS) and MPEG-4 scalable lossless coding(SLS), were standardized by MPEG in 2006. The simple profile of MPEG-4 ALS, it supports up to stereo, was defined by MPEG in 2009. The lossless audio codec should have low-complexity in stereo to be widely used in portable multi-media products. But the previous researches of MPEG-4 ALS have focused on an improvement of compression ratio, a complexity reduction in multi-channels coding, and a selection of linear prediction coefficients(LPCs) order. In this paper, the complexity and compression ratio of MPEG-4 ALS encoder is analyzed in simple profile of MPEG-4 ALS, the method to reduce a complexity of MPEG-4 ALS encoder is proposed. Based on an analysis of complexity of MPEG-4 ALS encoder, the complexity of short-term prediction filter of MPEG-4 ALS encoder is reduced by using the low-complexity filter that is proposed in previous research to reduce the complexity of MPEG-4 ALS decoder. Also, we propose a joint coding decision method, it reduces the complexity and keeps the compression ratio of MPEG-4 ALS encoder. In proposed method, the operation of joint coding is decided based on the relation between cross-correlation of residual and compression ratio of joint coding. The performance of MPEG-4 ALS encoder that has the method and low-complexity filter is evaluated by using the MPEG-4 ALS conformance test file and normal music files. The complexity of MPEG-4 ALS encoder is reduced by about 24% by comparing with MPEG-4 ALS reference encoder, while the compression ratio by the proposed method is comparable to MPEG-4 ALS reference encoder.

Improvement of Image Compression Using EZW Based in HWT (HWT에 기초한 EZW를 이용한 영상압축 개선)

  • Kim, Jang-Won
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.15 no.12
    • /
    • pp.2641-2646
    • /
    • 2011
  • In this paper, we studied that the EZW algorithm based in HWT was proposed effective compression technique of wavelet transformed image. The proposed Haar-EZW algorithm is that image was coding by zerotree coding technique using self-similarity of HWT coefficients. If the HWT coefficient is larger than the threshold, that is coding to POS. If the HWT coefficient is smaller than the threshold, that is coding to NEG. If the HWT coefficient is larger than the root of zerotree, that is coding to ZTR. If the HWT coefficient is smaller then the threshold, and if that is not the root of zerotree, that is coding to IZ. This process is repeated until all the HWT coefficients have been encoded completely. This paper is compared Haar-EZW algorithm with Daubechies and Antonini. As the results of compare, it is shown that the PSNR of the Haar-EZW algorithm is better than Daubechies's and Antonini's.

The Research of Efficient Context Coding Method for compression of High-resolution image in JPEG 2000 (고해상도 정지영상 압축을 위한 효율적인 JPEG2000용 Context 추출부의 연산 방법 연구)

  • Lee, Sung-Mok;Song, Jin-Gun;Ha, Joo-Young;Lee, Min-Woo;Kang, Bong-Soon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2007.10a
    • /
    • pp.97-100
    • /
    • 2007
  • In order to overcome many defects in the current JPEG standard of still image compression, the new JPEG2000 standard has been development. The JPEG2000 standard is based on the principles of DWT and EBCOT Entropy Coding. EBCOT(Embedded block coding with optimized truncation) is the most important technology in the latest image-coding standard, JPEG2000. However, EBCOT occupies the highest computation time to operate bit-level processing. Therefore, many researches have achieved methods to minimize computation speed of EBCOT. Thus, this paper proposes the method of context-extraction that improves computational architecture. This paper proposes efficient context coding method. The proposed algorithm would apply to hard-wired JPEG2000 Encoder that is used for compression of high resolution image.

  • PDF

Hybrid Coding for Multi-spectral Satellite Image Compression (다중스펙트럼 위성영상 압축을 위한 복합부호화 기법)

  • Jung, Kyeong-Hoon
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.3 no.1
    • /
    • pp.1-11
    • /
    • 2000
  • The hybrid coding algorithm for multi-spectral image obtained from satellite is discussed. As the spatial and spectral resolution of satellite image are rapidly increasing, there are enormous amounts of data to be processed for computer processing and data transmission. Therefore an efficient coding algorithm is essential for multi-spectral image processing. In this paper, VQ(vector quantization), quadtree decomposition, and DCT(discrete cosine transform) are combined to compress the multi-spectral image. VQ is employed for predictive coding by using the fact that each band of multi-spectral image has the same spatial feature, and DCT is for the compression of residual image. Moreover, the image is decomposed into quadtree structure in order to allocate the data bit according to the information content within the image block to improve the coding efficiency. Computer simulation on Landsat TM image shows the validity of the proposed coding algorithm.

  • PDF

An adaptive frequency-selective weighted prediction of residual signal for efficient RGB video compression coding (능률적 RGB 비디오 압축 부호화를 위한 잔여신호의 적응적 주파수-선택 가중 예측 기법)

  • Jeong, Jin-Woo;Choe, Yoon-Sik;Kim, Yong-Goo
    • Journal of Broadcast Engineering
    • /
    • v.15 no.4
    • /
    • pp.527-539
    • /
    • 2010
  • Most video coding systems use YCbCr color space for their inputs, but RGB space is more preferred in the field of high fidelity video because the compression gain from YCbCr becomes disappeared in the high quality operation region. In order to improve the coding performance of RGB video signal, this paper presents an adaptive frequency-selective weighted prediction algorithm. Based on the sign agreement and the strength of frequency-domain correlation of residual color planes, the proposed scheme adaptively selects the frequency elements as well as the corresponding prediction weights for better utilization of inter-plane correlation of RGB signal. Experimental results showed that the proposed algorithm improves the coding gain of around 13% bitrate reduction, on average, compared to the common mode of 4:4:4 video coding in the state-of-the-art video compression standard, H.264/AVC.