Encoding of images based on a lapped orthogonal transform

Cassereau, P.M.; Staelin, D. H.; Jager, G. de

doi:10.1109/26.20089

Cited by 57 publications

(23 citation statements)

References 9 publications

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“…The LOT is a class of popular methods for reducing blocking artifact having two approaches: the optimal and sub-optimal LOT [27][28][29]31]. The optimal LOT has two major drawbacks: the first is highly sensitive to numerical errors, even with double-precision computations [28,29]; the second is that a fast algorithm may not exist [27,28].…”

Section: Survey Of Blocking Effect Reduction Techniquesmentioning

confidence: 99%

“…The optimal LOT has two major drawbacks: the first is highly sensitive to numerical errors, even with double-precision computations [28,29]; the second is that a fast algorithm may not exist [27,28]. The sub-optimal LOT, which has a fast algorithm, is satisfactory but only for the small block sizes [27].…”

Section: Survey Of Blocking Effect Reduction Techniquesmentioning

confidence: 99%

“…This phenomenon known as the blocking artifact [23,25] degrades the overall reconstructed image quality [2,17,23]. To reduce the blocking artifact, various methods have been developed in the literature, such as the overlap method [25], the post-filtering method [26,27], and the LOT (lapped orthogonal transform) [28,29]. A detailed study of advantages and drawbacks of these methods can be found in [27].…”

Section: Introductionmentioning

confidence: 99%

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Blocking artifact removal using partial overlapping based on exact Legendre moments computation

Bahaoui

Zenkouar

Fadili

et al. 2014

J Real-Time Image Proc

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In this paper, we present the design of a partial overlapping block using exact Legendre moment computation (POBRELM) for gray-level image reconstruction. We address and solve the problem of artifact caused by independent reconstruction of the block affecting the visual image quality. This new approach takes advantage of only partial information of the neighbors of each block in spite of using global overlapping. Processing less neighborhood area during the exact computation of Legendre moments leads to significant improvement in the processing time. Simulation results show that the proposed method achieves not only considerable enhancement in terms of reconstruction error, but also drastic reduction in computation time. This makes our method attractive for real-time applications.

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Section: Survey Of Blocking Effect Reduction Techniquesmentioning

confidence: 99%

Section: Survey Of Blocking Effect Reduction Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Blocking artifact removal using partial overlapping based on exact Legendre moments computation

Bahaoui

Zenkouar

Fadili

et al. 2014

J Real-Time Image Proc

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“…An optimal LOT is obtained by an iterative optimization technique that searches for a maximum of G T C [19]. It has the disadvantage of being highly sensitive to numerical errors.…”

Section: Lapped Orthogonal Transform (Lot)mentioning

confidence: 99%

Investigation of Error Concealment Using Different Transform Codings and Multiple Description Codings

Farzamnia¹,

Yusof²,

Fisal³

et al. 2012

Journal of Electrical Engineering

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There has been increasing usage of Multiple Description Coding (MDC) for error concealment in non-ideal channels. A lot of ideas have been masterminded for MDC method up to now. This paper described the attempts to conceal the error and reconstruct the lost descriptions caused by combining MDC and lapped orthogonal transform (LOT). In this work LOT and other transforms codings (DCT and wavelet) are used to decorrelate the image pixels in the transform domain. LOT has better performance at low bit rates in comparison to DCT and wavelet transform. The results show that MSE for the proposed methods in comparison to DCT and wavelet have decreased significantly. The PSNR values of reconstructed images are high. The subjective evaluation of image is very good and clear. Furthermore, the standard deviations of reconstructed images are very small especially in low capacity channels.

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“…We also apply optimal PLUS factorization to make Lapped Transform [31,32,33,34,37] integer reversible. The Photo Core Transform (PCT) and Photo Overlap Transform (POT) are defined in [30,35,36].…”

Section: Integer Lapped Transform With Plus Factorizationmentioning

confidence: 99%

Stabilization and optimization of PLUS factorization and its application in image coding

Lei

Hao

2011

Journal of Visual Communication and Image Representation

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A recently developed PLUS factorization holds great promise in image coding due to its simplicity and integer reversibility. However, existing PLUS factorizations did not consider stability and optimality. To address these problems, we propose methodologies to design stable and optimal PLUS factorization algorithms. Firstly, we propose three stable PLUS factorization algorithms, prove the stability theorem under no perturbation and analyze stability under perturbation. Furthermore, we obtain a closed-form formula for transform error, and use the formula to design an algorithm for optimal PLUS factorization. Then, we apply the PLUS factorization to image coding. The integer DCTs implemented with the optimal PLUS factorizations found by our algorithms outperform the integer DCT with expansion factors in terms of entropy. The optimal PLUS factorizations are superior to the lifting factorization in JPEG-XR. The experimental results agree with analytical results of PLUS factorization, and show superior performance of our algorithms in image coding.

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Encoding of images based on a lapped orthogonal transform

Cited by 57 publications

References 9 publications

Blocking artifact removal using partial overlapping based on exact Legendre moments computation

Blocking artifact removal using partial overlapping based on exact Legendre moments computation

Investigation of Error Concealment Using Different Transform Codings and Multiple Description Codings

Stabilization and optimization of PLUS factorization and its application in image coding

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