Memory constrained wavelet based image coding

Cosman, Pamela C.; Zeger, K.

doi:10.1109/97.712104

Cited by 24 publications

(14 citation statements)

References 7 publications

(5 reference statements)

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“…Note that this approach is also useful for memory limited applications [4,3,5] such as hardware implementations for streaming image data. The buffer needed in this algorithm is only 4 rows for the passing of data between iterations and 1 row because we have to process two rows at once in the vertical part.…”

Section: Single-loopmentioning

confidence: 99%

A single-loop approach to SIMD parallelization of 2D wavelet lifting

Kutil

2006

14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06)

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Section: Single-loopmentioning

confidence: 99%

A single-loop approach to SIMD parallelization of 2D wavelet lifting

Kutil

2006

14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06)

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“…An alternative and more e cient approach can be found in the recent w ork of Cosman and Zeger 16,17]. Here, the memory utilization of the encoder is left unchanged and a standard algorithm (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Performance can befurther improved by selecting lters so that the numberof coe cients required at the decoder remains small (this can be achieved for example by c hoosing shorter lters for ltering along the vertical direction.) We refer the reader to 16,17] for further details.…”

Section: Introductionmentioning

confidence: 99%

Line-based, reduced memory, wavelet image compression

Chrysafis

Ortega

2000

IEEE Trans. on Image Process.

273

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This paper addresses the problem of low memory wavelet image compression. While wavelet or subband coding of images has been shown to be superior to more traditional transform coding techniques, little attention has been paid until recently to the important issue of whether boththe wavelet transforms and the subsequent coding can be implemented in low memory without signi cant loss in performance. We present a complete system to perform low memory wavelet image coding. Our approach is \line-based" in that the images are read line by line and only the minimum required number of lines is kept in memory. The main contributions of our work are two. First, we i n troduce a line-based approach for the implementation of the wavelet transform, which yields the same results as a \normal" implementation, but where, unlike prior work, we address memory issues arising from the need to synchronize encoder and decoder. Second, we propose a novel context-based encoder which requires no global information and stores only a local set of wavelet coe cients. This low memory coder achieves performance comparable to state of the art coders at a fraction of their memory utilization.

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“…In [VIS94], it is introduced a first solution to overcome this drawback using this idea for the 1D DWT. Later, one of the first approaches to reduce memory consumption for wavelet-based image compression was done in [COS98]. The proposed algorithm includes image compression by means of zerotree coding [SHA93] [SAI96] (tree-based coding will be reviewed in the next chapter).…”

Section: Previous Proposals To Reduce Memory Usagementioning

confidence: 99%

“…Once this group of lines is decoded, the memory used by these coefficients can be released and more lines can be read in the same way. This line-based algorithm was further refined in [CHR00], where (1) reduction of memory is dealt in both the forward and inverse transform (in [COS98] it is done only in the decoder); (2) the order of the coefficients is rearranged with some extra buffers to allow efficient use of memory in the encoder and the decoder; (3) zerotree coding is replaced with a new entropy coding algorithm. In the next subsection, we will describe a general line-based approach in more detail, and we will address some issues that arise from this strategy hindering its implementation.…”

Section: Previous Proposals To Reduce Memory Usagementioning

confidence: 99%

On the design of fast and efficient wavelet image coders with reduced memory usage

Gil¹,

Salvador²

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Image compression is of great importance in multimedia systems and applications because it drastically reduces bandwidth requirements for transmission and memory requirements for storage. Although earlier standards for image compression were based on the Discrete Cosine Transform (DCT), a recently developed mathematical technique, called Discrete WaveletTransform (DWT), has been found to be more efficient for image coding.Despite improvements in compression efficiency, wavelet image coders significantly increase memory usage and complexity when compared with DCT-based coders. A major reason for the high memory requirements is that the usual algorithm to compute the wavelet transform requires the entire image to be in memory. Although some proposals reduce the memory usage, they present problems that hinder their implementation. In addition, some wavelet image coders, like SPIHT (which has become a benchmark for wavelet coding), always need to hold the entire image in memory.Regarding the complexity of the coders, SPIHT can be considered quite complex because it performs bit-plane coding with multiple image scans. The wavelet-based JPEG 2000 standard is still more complex because it improves coding efficiency through time-consuming methods, such as an iterative optimization algorithm based on the Lagrange multiplier method, and high-order context modeling.In this thesis, we aim to reduce memory usage and complexity in wavelet-based image coding, while preserving compression efficiency. To this end, a run-length encoder and a tree-based wavelet encoder are proposed. In addition, a new algorithm to efficiently compute the wavelet transform is presented. This algorithm achieves low memory consumption by using line-by-line processing, and it employs recursion to automatically place the order in ABSTRACT ii which the wavelet transform is computed, solving some synchronization problems that have not been tackled by previous proposals. The proposed encoders perform in-place processing so that no extra memory is required for the coding process. Furthermore, time-consuming methods (such as iterative algorithms, high-order modeling and bit-plane coding) are avoided to reduce complexity, and we show the importance of grouping coefficients with tree structures as a method to reduce complexity.iii ResumenLa compresión de imágenes es de vital importancia en sistemas y aplicaciones multimedia, ya que reduce drásticamente tanto el ancho de banda necesario para transmitir imágenes como la cantidad de memoria que hace falta para almacenarlas. Aunque los primeros estándares de compresión de imagen estaban basados en la transformada discreta del coseno, recientemente ha surgido una nueva herramienta matemática denominada transformada discreta wavelet que se considera más eficiente para la compresión de imágenes.A pesar de las mejoras en eficiencia, los compresores de imagen basados en esta transformada necesitan mucha más memoria e incrementan considerablemente su complejidad temporal si los comparamos con aquellos basados e...

show abstract

Memory constrained wavelet based image coding

Cited by 24 publications

References 7 publications

A single-loop approach to SIMD parallelization of 2D wavelet lifting

A single-loop approach to SIMD parallelization of 2D wavelet lifting

Line-based, reduced memory, wavelet image compression

On the design of fast and efficient wavelet image coders with reduced memory usage

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