Evaluation of disparity map characteristics for stereo image coding

Date

2005-09-14

Author

Aksay, A
Bici, MO
Akar, Gözde

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

29
views

0
downloads

In order to compress stereo image pairs effectively, disparity compensation is the most widely used method. In this paper we examined the effects of using different disparity maps and their properties in an embedded JPEG2000 based disparity compensated stereo image coder. These properties include the block size, estimation method and the resulting entropy of the disparity map. Experimental results show that basic block matching gives better results than ground truth, especially on occluded regions and boundaries.

Subject Keywords

Image coding, Decoding, Eyes, Cameras, Arithmetic, Transform coding, Bit rate, Entropy, Humans, Visual system

URI

https://hdl.handle.net/11511/42306

DOI

https://doi.org/10.1109/icip.2005.1530003

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Development of a MATLAB-based toolbox for tide Gauge records using Hilbert-Huang transform Jamali, Aydin; Karslıoğlu, Mahmut Onur; Department of Geodetic and Geographical Information Technologies (2013) Tidal records are usually processed on the basis of Harmonic Analysis which in fact works well for linear and stationary data. It is a mathematical procedure which divides the data in a finite number of harmonic constituents. But the tidal data is in reality non-linear and non-stationary because of atmospheric and meteorological parameters. Therefore in this work a MATLAB –based Toolbox has been developed for hourly tidal data collected from four tide gauge stations at the Turkish costs using Hilbert Huang ...
Implementation of an enhanced fixed point Variable Bit-Rate MELP vocoder on TMS320C549 Ertan, AE; Aksu, EB; Ilk, HG; Karci, H; Karpat, O; Kolcak, T; Sendur, L; Demirekler, Mübeccel; Cetin, AE (1999-03-19) In this paper, a fixed point Variable Bit-Rate (VBR) Mixed Excitation Linear Predictive Coding (MELP(TM)) vocoder is presented. The VBR-MELP vocoder is also implemented on a TMS320C54x and it achieves virtually indistinguishable federal standard MELP quality at bit-rates between 1.0 to 1.6 kb/s. The backbone of VBR-MELP vocoder is similar to that of federal standard MELP. It utilizes a novel sub-band based voice activity detector in the back-end of encoder to discriminate background noise from speech activi...
Cognitive aspects of image zooming Öncül, Gaye; Tarı, Sibel; Tekman, Hasan Gürkan; Department of Cognitive Sciences (2002) In this work, digital image zooming methods and image distortion metrics are examined in terms of a quality criterion based on image appearance. Neurophysiological and psychophysical foundations of perception driven image distortion metrics are presented. Results of a comparative study based on both perceptual distortion metrics and conventional distortion metrics for standard zooming methods are discussed. Open problems in image quality definition as well as image enlargement methods are presented and impr...
An Experimental Method to Determine Quantization Levels for High Luminance Patterns Sözer, Sevim Begüm; Koz, Alper; Akyüz, Ahmet Oğuz; Zerman, Emin; Valenzise, Giuseppe; Dufaux, Frederic (2020-10-05) The quantization levels, which forms an important basis for video coding, are mainly determined for 8-bit image representation and for low dynamic range (LDR) typical displays with a luminance level of 100-500 cd/ m 2 . The quantization levels have not been studied until now for high luminance patterns and high dynamic range (HDR) displays, which can reach up to 4000 cd/m 2 . In this study, an HDR display based perceptual experimental method is proposed in order to determine just noticeable quantization lev...
Improvement of Transform-Skip Mode in Lossy Intra Coding with 3-Tap Filters Alvar, Saeed Ranjbar; Kamışlı, Fatih (2016-08-05) Using transforms in video coding is an effective method in reducing the spatial redundancy. However, for some cases applying transforms does not reduce the spatial redundancy. For these cases, transforms are skipped and the prediction error is directly quantized and then entropy coded. To further reduce the spatial redundancy in the transform skipped blocks, a pixel-by-pixel lossy intra prediction method based on a two dimensional correlation model is proposed in this paper. In the proposed method, three re...

Citation Formats

A. Aksay, M. Bici, and G. Akar, “Evaluation of disparity map characteristics for stereo image coding,” 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42306.