High Efficiency EBCOT with Parallel Coding Architecture for JPEG2000

Chiang, Jen‐Shiun; Chang, Chun-Hau; Hsieh, Chang-Yo; Hsia, Chih-Hsien

doi:10.1155/asp/2006/42568

Cited by 16 publications

(9 citation statements)

References 10 publications

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“…Two different pass parallel coding schemes-group 2 and group 4-are presented in [14]. In group 4 method, all four samples within a column are coded at a time, whereas only two samples are coded simultaneously in group 2 method.…”

Section: Mq Codermentioning

confidence: 99%

Area Efficient, High Speed EBCOT Architecture for Digital Cinema

Sarawadekar¹,

Banerjee

2012

ISRN Signal Processing

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Embedded block coding with optimised truncation (EBCOT) is a key algorithm in digital cinema (DC) distribution system. Though several high speed EBCOT architectures exist, all are not capable of meeting the DC specifications. To meet this challenge, the relationship between contents of a code block (CB) and context generation is studied. Our study reveals that it is difficult to predict number of contexts generated in a bit plane. Even the nature of number of contexts produced varies from CB to CB. In such a situation, it is difficult to ensure the frame rate requirement of DC. To avoid this uncertainty, a pass parallel, concurrent sample coding EBCOT architecture is proposed in this paper. It is capable of encoding one bit plane in 288 clock cycles under any circumstances. This design is prototyped on XC4VLX80-12 FPGA with multiple clock domains. After synthesizing, the bit plane coder (BPC) and MQ coder operate at 450 MHz and 123 MHz, respectively. In order to maintain synchronism among different clock domains, the BPC and MQ coder units are operated at 432 MHz and 108 MHz, respectively. This entails that the proposed design is capable of processing 2048 × 1080 size 57 DC frames in a second.

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Section: Mq Codermentioning

confidence: 99%

Area Efficient, High Speed EBCOT Architecture for Digital Cinema

Sarawadekar¹,

Banerjee

2012

ISRN Signal Processing

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“…Numerous studies have targeted DWT and EBCOT Tier-1 for hardware implementation [29], [30], [31], [32]. This involves replacing the software implementation with dedicated hardware.…”

Section: Jpeg2000 Encodingmentioning

confidence: 99%

Design and Performance Evaluation of Image Processing Algorithms on GPUs

Park

Singhal

Lee

et al. 2011

IEEE Trans. Parallel Distrib. Syst.

124

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Abstract-In this paper, we construe key factors in design and evaluation of image processing algorithms on the massive parallel graphics processing units (GPUs) using the compute unified device architecture (CUDA) programming model. A set of metrics, customized for image processing, is proposed to quantitatively evaluate algorithm characteristics. In addition, we show that a range of image processing algorithms map readily to CUDA using multiview stereo matching, linear feature extraction, JPEG2000 image encoding, and nonphotorealistic rendering (NPR) as our example applications. The algorithms are carefully selected from major domains of image processing, so they inherently contain a variety of subalgorithms with diverse characteristics when implemented on the GPU. Performance is evaluated in terms of execution time and is compared to the fastest host-only version implemented using OpenMP. It is shown that the observed speedup varies extensively depending on the characteristics of each algorithm. Intensive analysis is conducted to show the appropriateness of the proposed metrics in predicting the effectiveness of an application for parallel implementation.

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“…In JPEG2000, some samples are coded by the specific pass and the other two passes are skipped. These skipped samples are called wasted samples [18]. In order to save the computation for wasted samples, we combine the original three coding passes into one pass.…”

Section: A Fast One-pass Tier-1 Coder For Astronomical Imagesmentioning

confidence: 99%

Lossless Compression Using Joint Predictor for Astronomical Images

Tang

2009

Advances in Visual Computing

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Abstract. Downloading astronomical images through Internet is a slow operation due to their huge size. Although several lossless image coding standards that have good performance have been developed in the past years, none of them are specifically designed for astronomical data. Motivated by this, this paper proposes a lossless coding scheme for astronomical image compressions. We design a joint predictor which combines the interpolation predictor and partial MMSE predictor. Such strategy benefits from its high compression ratio and low computation complexity. Moreover, the scalable and embedding functions can be further supported. The interpolation predictor is realized by upsampling the downsampled input image using bi-cubic interpolation, while the partial minimum mean square error (MMSE) predictor predicts the background and foreground (i.e., stars) separately. Finally, we design a simplified Tier-1 coder from JPEG2000 for entropy coding. Our experimental results show that the proposed encoder can achieve higher compression ratio than JPEG2000 and JPEG-LS.

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High Efficiency EBCOT with Parallel Coding Architecture for JPEG2000

Cited by 16 publications

References 10 publications

Area Efficient, High Speed EBCOT Architecture for Digital Cinema

Area Efficient, High Speed EBCOT Architecture for Digital Cinema

Design and Performance Evaluation of Image Processing Algorithms on GPUs

Lossless Compression Using Joint Predictor for Astronomical Images

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