This paper describes an efficient and simple algorithm to compress reference frames in DTV decoders for reducing memory and I/O bandwidth requirements. The proposed quad-tree embedded algorithm can efficiently compres...
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ISBN:
(纸本)0780351231
This paper describes an efficient and simple algorithm to compress reference frames in DTV decoders for reducing memory and I/O bandwidth requirements. The proposed quad-tree embedded algorithm can efficiently compress each macro-block to a specified bit count exactly, which can be stored at fixed location for easy retrieval. It is shown that the proposed algorithm can compress reference frames up to a compression ratio of 8:1 without significant quality degradation.
We propose a post processing algorithm to enhance the quality of motion JPEG (MJPEG) by exploiting temporal redundancies. The error between the estimated and original blocks is analyzed using the translational relatio...
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We propose a post processing algorithm to enhance the quality of motion JPEG (MJPEG) by exploiting temporal redundancies. The error between the estimated and original blocks is analyzed using the translational relation in the discrete cosine transform (DCT) domain. The proposed algorithm permits reconstructing the high frequency coefficients lost during quantization and therefore reduces the ringing artifact. Blocking artifact reduction is verified by the decrease in the variance of this coefficient error. Results in quality and PSNR improvement for both cases of integer and sub-pixel motion vectors are verified by simulations on video sequences.
In this paper, a new rate adaptive control algorithm is proposed based on study of JPEG2000 rate control algorithm, in order to reduce the amount of bits sent to the arithmetic coder, without any significant changes i...
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In this paper, a new rate adaptive control algorithm is proposed based on study of JPEG2000 rate control algorithm, in order to reduce the amount of bits sent to the arithmetic coder, without any significant changes into the standard architecture and without loosing performance. After wavelet transform, the coefficient is modeled as Gaussian distribution, but remove the offspring of the lowest frequency. Each block bit rate of the actual encoding has been achieved based on rate-distortion theory in the overall rate certain, and the bit rate should be real-time deadline in the entropy coding. The offspring of the lowest frequency has been code at without distortion. This algorithm achieve bit rate deadline in real-time, reducing the encoder computation and memory usage. Experimental results show that after the removal of the most low frequencies, the remaining band coefficient modeled as a Gaussian distribution, the image compression is significantly better than results that the whole band is the Gaussian distribution, when the compression rate is not too high. And rate allocation algorithm is accurate and low complex, and that it is most suitable for hardware implementation.
The need for better quality compressed images with the limited channel bandwidth in real-time data transmissions is the reason for which compression technique plays an important role in multimedia wireless communicati...
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The need for better quality compressed images with the limited channel bandwidth in real-time data transmissions is the reason for which compression technique plays an important role in multimedia wireless communication and also enhancing the speed of communication. transform based compressions are widely used owing to their higher compression rate in images. To have a better compression; increasing the probability of finding a character/symbol substantially which results in frequency spread reduction is proposed. Such a lossless transform is called as `Analytical transform' (AT). Proof behind this transform decreasing the entropy and allowing a simple compression algorithm to work more effectively is explained. `Analytical transform' is a sequential data transform aiding for superior compression. A comparative analysis of other sequential data compressors like Lempel and Ziv against Huffman coding in the combination of Analytical transform provides 1.3 to 1.8 times better compression.
With the increasing number of medical imaging modalities, compressing digital medical images can facilitate their transmission and storage. This paper evaluates and compares two lossy compression methods: JPEG and wav...
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With the increasing number of medical imaging modalities, compressing digital medical images can facilitate their transmission and storage. This paper evaluates and compares two lossy compression methods: JPEG and wavelet, applied to the end diastolic phase slices of a cardiac MRI acquisition. First, the qualitative image quality was evaluated with clinical criteria and was performed by radiologists. The compression image quality was then not judged satisfactory over 22:1 for JPEG and 32:1 for wavelets. Secondly, we evaluated the effect of these lossy methods on physiological parameters, such as left ventricular mass and end-diastolic volume, calculated by an automated segmentation algorithm. The wavelet coding allows a compression ratio of 67:1, while JPEG is limited to 30:1. The wavelet compression performance was superior to JPEG at high and low compression ratios. We conclude that limiting the compression ratios to those defined by the psychovisual assessment secures the validity of physiological parameters in cardiac MRI.
Conventional real and imaginary parts do not exist for the transform coefficients in discrete cosine transforms as they do for the discrete Fourier transform. It is shown that coefficients behaving like magnitude and ...
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Conventional real and imaginary parts do not exist for the transform coefficients in discrete cosine transforms as they do for the discrete Fourier transform. It is shown that coefficients behaving like magnitude and phase functions can be computed and used for vector quantization in discrete cosine transform coding of speech. For short block transforms, time trajectories of these functions can also be used for vector quantization, giving further flexibility with respect to bit allocation and providing the possibility of capitalizing on the pitch structure of voiced speech.< >
Telemedicine characterized by transmission of medical data and images between users is one of the emerging fields in medicine. Huge bandwidth is necessary for transmitting medical images over the internet. Resolution ...
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Telemedicine characterized by transmission of medical data and images between users is one of the emerging fields in medicine. Huge bandwidth is necessary for transmitting medical images over the internet. Resolution factor and number of images per diagnosis makes even the size of the images that belongs to a single patient to be very large in size. So there is an immense need for efficient compression techniques for use in compressing these medical images to decrease the storage space and efficiency of transfer the images over network for access to electronic patient records. This project summarizes the different transformation methods used in compression as compression is one of the techniques that reduces the amount of data needed for storage or transmission of information. This paper outlines the comparison of transformation methods such as DPCM (Differential Pulse Code Modulation), and prediction improved DPCM transformation step of compression and introduced a transformation which is efficient in both entropy reduction and computational complexity. A new method is then achieved by improving the perdiction model which is used in lossless JPEG. The prediction improved transformation increases the energy compaction of prediction model and as a result reduces entropy value of transformed image. After transforming the image Huffman encoding used to compress the image. As a result, the new algorithm shows a better efficiency for lossless compression of medical images, especially for online applications. The result is analyzed using MATLAB and implemented in hardware.
We propose an image processing system using an analog transform imager chip. The transform imager is a CMOS imager which is capable of block transforms using floating-gates. Because the transform imager is highly prog...
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We propose an image processing system using an analog transform imager chip. The transform imager is a CMOS imager which is capable of block transforms using floating-gates. Because the transform imager is highly programmable, it can perform various block transforms such as the Walsh-Hadamard transform, discrete sine transform (DST), and discrete cosine transform (DCT). We investigate the reduction of computations and power by a baseline JPEG compression system as an application. The 48/spl times/40 transform imager provides 144 MOPS/s using an area of 1.03 mm/sup 2/ in 0.5 /spl mu/m CMOS technology, and it has a much higher fill factor, 46%, compared with other focal plane imagers. The measured transformed images and the reconstructed images are presented to demonstrate the operations.
We propose a statistical model of natural images in JPEG format. The image acquisition is composed of three principal stages. First, a RAW image is obtained from sensor of Digital Still Cameras (DSC). Then, the RAW im...
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We propose a statistical model of natural images in JPEG format. The image acquisition is composed of three principal stages. First, a RAW image is obtained from sensor of Digital Still Cameras (DSC). Then, the RAW image is subject to some post-acquisition processes such as demosaicking, white-balancing and γ-correction to improve its visual quality. Finally, the processed images goes through the JPEG compression process. For each step of image processing chain, a statistical study of pixels' properties is performed to finally obtain a model of Discrete Cosine transform (DCT) coefficients distribution.
We developed a platform for home network equipment consisting of a high performance CPU with a real-time operating system (RTOS) and peripheral function chips connected to the CPU bus. We implemented the serial bus pr...
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We developed a platform for home network equipment consisting of a high performance CPU with a real-time operating system (RTOS) and peripheral function chips connected to the CPU bus. We implemented the serial bus protocol (SBP-2) software and an IP over 1394 protocol on this system.
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