The effect of depth map up-sampling on the overall quality of stereopairs

Mahmoudpour, Saeed; Kim, Manbae

doi:10.1016/j.displa.2016.03.004

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…Depth cues are widely used across applications such as 3D movies, 3D games, depth-aided object recognition, and RGB-D image segmentation (Shao et al, 2012;Dominio et al, 2014;Mahmoudpour and Kim, 2016;Zhu et al, 2017). Due to application requirements, obtaining high-quality depth maps is of crucial importance (Kim et al, 2014;Yang et al, 2015;Yuan et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

High-quality depth up-sampling via a supervised classification guided MRF model

Qiao

Jiao

Tang

et al. 2020

Pattern Recognition Letters

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Section: Introductionmentioning

confidence: 99%

High-quality depth up-sampling via a supervised classification guided MRF model

Qiao

Jiao

Tang

et al. 2020

Pattern Recognition Letters

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“…Few of the processes that the stereoscopic images go through in these applications include compression, communication, printing, display, restoration, segmentation, and fusion [9]. The success of these 3D application services depend upon providing high quality content [10]. However, this also brings many new concerns and challenges [11]-] [13].…”

Section: Introductionmentioning

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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DP3 signal as a neuro-indictor for attentional processing of stereoscopic contents in varied depths within the ‘comfort zone’

Gao

et al. 2020

Displays

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The effect of depth map up-sampling on the overall quality of stereopairs

Cited by 5 publications

References 33 publications

High-quality depth up-sampling via a supervised classification guided MRF model

High-quality depth up-sampling via a supervised classification guided MRF model

Summative Stereoscopic Image Compression using Arithmetic Coding

DP3 signal as a neuro-indictor for attentional processing of stereoscopic contents in varied depths within the ‘comfort zone’

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