A Real-Time Video Encoding Scheme Based on the Contourlet Transform

Katsigiannis, Stamos; Παπαϊωάννου, Γεώργιος; Maroulis, Dimitris

doi:10.5772/51735

Cited by 1 publication

(1 citation statement)

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“…For instance, the contourlet transform provides not only the multiscale representation, but also offers a higher degree of directionality with simpler discrete-domain construction [17]. As it can efficiently represent the contours found in natural scenes and handle singularities along smooth curves, the contourlet coding is visually superior to wavelet coding for images (even for videos) with textures and oscillatory patterns [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Non-redundant Tunable-Q Contourlet Transform and Its Application to Image Coding

Wang

Yao³

et al. 2021

Preprint

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We propose a non-redundant tunable-Q contourlet transform for image coding. Existing non-redundant contourlet transforms use multiscale pyramids to iteratively decompose an image into octave frequency bands in the frequency domain. This constant low-Q transform scheme is not suitable for the coding of rich-texture images, in which there are numerous edges and thus rich intermediate- and high- frequency components in the frequency domain. By integrating a non-redundant rational-dilation wavelet transform with the directional filter bank of the contourlet, we construct a new contourlet transform scheme which is not only non-redundant but also provides a really tunable-Q transform scheme by tuning its dilation factor. Using a search algorithm based on information-maximization, one can determine the optimal-dilation-factor (or Q-pattern) for a given dataset. Based on the SPIHT coding scheme, we construct a coding algorithm using the proposed transform. Experimental results show that for texture image coding, our coding method using the optimal Q-pattern is always superior to many existing state-of-art transform coding methods in both visual assessments and quantitative evaluations, including the JPEG and JPEG2000 standards, and the coders based on the wavelet packet transform and wavelet-based contourlet packet transform.

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