Compression scheme for digital cinema application
0
Citation
0
Reference
10
Related Paper
Abstract:
In this paper we present a compression scheme for the Digital Cinema application. Specifically, we developed a rate allocation algorithm for applying JPEG-2000 to coding Digital Cinema movies to achieve near lossless and smooth visual picture quality over the decoded movies at the required coding rate. First, a rate-distortion model is established based on the estimated source characteristics of the pictures, and a rate allocation algorithm is derived to determine a target rate for each picture based on the model so that 1) the overall distortion is minimized and 2) each picture has the same distortion at the required average bit rate. Then JPEG-2000 is employed to encode the high resolution motion picture according to the target rate allocation to achieve efficient compression performance and smooth picture quality over the picture sequence. The test results on Digital Cinema movie clips have shown that our scheme has achieved near lossless coding performance and very smooth picture quality both visually and in PSNR.Keywords:
JPEG 2000
JPEG
Lossless JPEG
Rate–distortion theory
ENCODE
Rate–distortion optimization
Distortion (music)
Data compression ratio
In this study, the performances of JPEG (the most widely used lossy image compression standard until it was published in 1992), JPEG2000 (designed to provide superior image quality at low bit rates) and JPEG XR (aimed to reach the speed of JPEG and the quality of JPEG2000) are evaluated with an application developed in C# language which is able to use different codecs. The results show that recently developed JPEG standard (JPEG XR) is able to compress images with the same quality as JPEG2000, but not the same speed as JPEG.
JPEG 2000
JPEG
Lossy compression
Lossless JPEG
Codec
Cite
Citations (4)
In this chapter, we have described the JPEG standard for still image compression. We discussed the details of the algorithm for lossless JPEG. We have also discussed in great detail the principles and algorithms for the baseline JPEG standard. Baseline JPEG is the most used and popular algorithm amongst all different modes in JPEG standard for still image compression. We have presented some results of baseline JPEG and compared with the new JPEG2000 standard. The features, concepts, and principles behind the algorithms for JPEG2000 standard will be elaborated in great detail in Chapters 6, 7, 8 and 10. We also summarized the progressive mode and hierarchical mode of operation of the JPEG standard in this chapter with examples.
Lossless JPEG
JPEG
JPEG 2000
Lossy compression
Cite
Citations (67)
Recently, the JPEG committee discussed the introduction of an "ultrafast" mode for JPEG 2000 encoding. This considered extension of the JPEG 2000 framework replaces the EBCOT coding by a combined Huffman-Runlength code, and adds an optional additional prediction step after quantization. While the resulting codec is not compatible with existing JPEG 2000, it still allows lossless transcoding from JPEG 2000 and back, and performance measurements show that it offers nearly the quality of JPEG 2000 and similar quality than JPEG XR at a much lower complexity comparable to the complexity of the IJG JPEG software. This work introduces the extension, and compares its performance with other JPEG standards and other extensions of JPEG 2000 currently under standardization.
Mode (computer interface)
Cite
Citations (4)
After a study on the characteristic of ECG data, we propose here in this paper a lossless compression method of ECG data, which is based on JPEG2000. It integrates both 1D and 2D compression. The method has been verified through all forty-eight records in MIT-BIH Arrhythmia database. And the result shows that the method has a better compression rate and a good computational efficiency.
Lossless JPEG
JPEG 2000
Data compression ratio
JPEG
Lossy compression
Cite
Citations (0)
The Joint Photographic Experts Group (JPEG) has recently rolled out a new still image coding standard called JPEG 2000. This standard integrates an efficient image compression scheme with functionalities required by multimedia applications, such as progressiveness up to lossless coding, region of interest coding, and error resiliency. Security is a concern in many applications, and therefore also a desired functionality. This paper provides readers with insights and examples of how to combine security solutions with JPEG 2000 compression. Tools for JPEG 2000 compressed image integrity, access control, and copyright protection are presented. They can be either applied to a JPEG 2000 codestream or directly integrated into the coding/decoding operations, resulting in a fully compliant JPEG 2000 image.
Lossless JPEG
JPEG
JPEG 2000
Cite
Citations (9)
JPEG XR is the new standard of the JPEG community, and it carries the features of its earlier standards, namely the JPEG Baseline and the JPEG 2000. JPEG Baseline and JPEG 2000 have been the most widely used image compression standards owing to their less complexity and lossless compression, respectively. The new JPEG XR is designed to have a better compression level than the JPEG Baseline and reduced computational complexities compared to the JPEG 2000. In this paper, we propose a fully pipelined design architecture of the forward and the inverse photo core transforms used in JPEG XR for image compression. The proposed architecture uses a multiplier-less design, using only add and shift operations for reduced hardware complexity.
Lossless JPEG
JPEG
JPEG 2000
Lossy compression
Cite
Citations (0)
Due to performance and low complexity, JPEG-LS become the standard of lossless and near-lossless image compression. However, it can't accurately control code rate when it is applied in near-lossless compression. This paper is thus devoted to rate control for near-lossless image compression with JPEG-LS. A model of coding bit-rate under a high bit-rate with respect to mean absolute difference (MAD) and coding quantization parameters for prediction coding is first proposed. Then a rate control method for near-lossless compression is designed based on the model for JPEG-LS. In the process of a specific image coding, to control the bit-rate, quantitative parameters are adjusted piecewise based on the model. Experiments show that the proposed method can make final code rate close to a preset rate. It's different from other methods that quantitative parameter fluctuating within a wide range can be avoided because of the accurate model of bit-rate. As a result, the proposed control method can achieve approximate optimal rate-distortion performance.
Rate–distortion theory
Distortion (music)
Rate distortion
JPEG
Cite
Citations (1)
The Joint Photographic Experts Group (JPEG) has recently rolled out a new still image coding standard called JPEG 2000. This standard integrates an efficient image compression scheme along with functionalities required by multimedia applications, such as progressiveness up to lossless coding, region of interest coding, and error resiliency. Security is a concern in many applications, and therefore a highly desired functionality. For this reason, JPEG recently initiated an activity known as secure JPEG 2000 (JPSEC) in order to provide a standardized framework for secure imaging. This paper presents some insights on the current status of the JPSEC activities. We also provide examples of how to combine security solutions with JPEG 2000 compression. More specifically, tools for JPEG 2000 compressed image integrity, access control, and copyright protection are presented. They can be either applied to a JPEG 2000 codestream or directly integrated into the coding/decoding operations. In all cases, they result in a fully compliant JPEG 2000 image.
Lossless JPEG
JPEG
JPEG 2000
Cite
Citations (1)
Several popular lossless image compression algorithms were evaluated for the application of compressing medical infrared images. Lossless JPEG, JPEG-LS,JPEG2000, PNG, and CALIC were tested on an image dataset of 380+ thermal images. The results show that JPEG-LS is the algorithm with the best performance, both in terms of compression ratio and compression speed.
JPEG 2000
Lossless JPEG
Lossy compression
JPEG
Cite
Citations (34)
Recently, the JPEG committee discussed the introduction of an "ultrafast" mode for JPEG 2000 encoding. This considered extension of the JPEG 2000 framework replaces the EBCOT coding by a combined Human- Runlength code, and adds an optional additional prediction step after quantization. While the resulting codec is not compatible with existing JPEG 2000, it still allows lossless transcoding from JPEG 2000 and back, and performance measurements show that it offers nearly the quality of JPEG 2000 and similar quality than JPEG XR at a much lower complexity comparable to the complexity of the IJG JPEG software. This work introduces the extension, and compares its performance with other JPEG standards and other extensions of JPEG 2000 currently under standardization.
Lossless JPEG
JPEG
JPEG 2000
Codec
Transcoding
Cite
Citations (4)