Spatiotemporal spectral coding of stereo image sequences

Labonte, F.; Dinh, Chon Tam Le; Faubert, Jocelyn; Cohen, Paul R.

doi:10.1109/76.744281

Cited by 8 publications

(3 citation statements)

References 22 publications

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“…1) Among all existing block-based stereo image compression algorithms, the DCTDP scheme (disparity compensated transform domain predictive coding) proposed in [1] is the most representative algorithm and widely quoted within the stereo image compression community including recent publications [28], [29]. To this end, we implemented this algorithm as the major benchmark to assess the proposed algorithm.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

A hybrid scheme for low bit-rate coding of stereo images

Jiang

Edirisinghe

2002

IEEE Trans. on Image Process.

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In this paper, we propose a hybrid scheme to implement an object driven, block based algorithm to achieve low bit-rate compression of stereo image pairs. The algorithm effectively combines the simplicity and adaptability of the existing block based stereo image compression techniques with an edge/contour based object extraction technique to determine appropriate compression strategy for various areas of the right image. Unlike the existing object-based coding such as MPEG-4 developed in the video compression community, the proposed scheme does not require any additional shape coding. Instead, the arbitrary shape is reconstructed by the matching object inside the left frame, which has been encoded by standard JPEG algorithm and hence made available at the decoding end for those shapes in right frames. Yet the shape reconstruction for right objects incurs no distortion due to the unique correlation between left and right frames inside stereo image pairs and the nature of the proposed hybrid scheme. Extensive experiments carried out support that significant improvements of up to 20% in compression ratios are achieved by the proposed algorithm in comparison with the existing block-based technique, while the reconstructed image quality is maintained at a competitive level in terms of both PSNR values and visual inspections.

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Section: Experimental Results and Analysismentioning

confidence: 99%

A hybrid scheme for low bit-rate coding of stereo images

Jiang

Edirisinghe

2002

IEEE Trans. on Image Process.

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“…The key approaches in the approach was the decomposition of the left and right stereoscopic image pairs to low pass and high pass luminance components. The results showed that this approach obtained high CR and PSNR and motivated to concentrate on an approach that gives high CR and PSNR at the same time [41]. Sulthana et al proposed an approach for image compression based on wavelet transform and adaptive arithmetic coding, which was an extension to Shapiro's EZW algorithm.…”

Section: Related Stereoscopic Image Compression Workmentioning

confidence: 99%

Summative Stereoscopic Image Compression using Arithmetic Coding

Poolakkachalil

Chandran

2019

IJEEI

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Image compression targets at reducing the amount of bits required for image representation to save storage space and speed up the transmission over network. The reduction of size helps to store more images in the disk and take less transfer time in the data network. Stereoscopic image refers to a threedimensional (3D) image that is perceived by the human brain as the transformation of two images that are being sent to the left and right human eyes with distinct phases. However, storing of these images takes space twice than a single image and hence the motivation for this novel approach called Summative Stereoscopic Image Compression using Arithmetic Coding (S2ICAC) where the difference and average of these stereo pair images are calculated, quantized in the case of lossy approach and unquantized in the case of lossless approach, and arithmetic coding is applied. The experimental result analysis indicates that the proposed method achieves high compression ratio and high PSNR value. The proposed method is also compared with JPEG 2000 Position Based Coding Scheme (JPEG 2000 PBCS) and Stereoscopic Image Compression using Huffman Coding (SICHC). From the experimental analysis, it is observed that S2ICAC outperforms JPEG 2000 PBCS as well as SICHC.

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“…baseline-JPEG) as the basic compression engine. This algorithm has been widely used within the stereo image coding research community as a representative benchmark for evaluating novel block based stereo image coding algorithms [16][17][18]. The objective image quality is measured in terms of Peak Signal to Noise Ratio (PSNR) between the original right image and reconstructed predictive (right) image.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Baseline JPEG-like DWT CODEC for disparity compensated residual coding of stereo images

Nayan

Edirisinghe

Bez

Proceedings 20th Eurographics UK Conference

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In this paper we propose a novel stereo image coding technique, which uses an architecture similar to that of a Discrete Cosine Transform (DCT) based baseline JPEG-CODEC [1], but effectively replaces the DCT technology by the more recently popularized Discrete Wavelet Transform (DWT) technology. We show that as a result of this hybrid design, which combines the advantage of two popular technologies, the proposed CODEC has improved rate distortion and subjective image quality performance as compared to DCT based stereo image compression techniques [2,3]. In particular, at very low bit rates (0.15 bpp), we report peak-signal-to-noise-ratio (PSNR) gains of up to 3.66 dB, whereas at higher bit rates we report gains in the order of 1 dB.

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Spatiotemporal spectral coding of stereo image sequences

Cited by 8 publications

References 22 publications

A hybrid scheme for low bit-rate coding of stereo images

A hybrid scheme for low bit-rate coding of stereo images

Summative Stereoscopic Image Compression using Arithmetic Coding

Baseline JPEG-like DWT CODEC for disparity compensated residual coding of stereo images

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