Chen et al., 2013 - Google Patents
No-reference quality assessment of natural stereopairsChen et al., 2013
View PDF- Document ID
- 16660007183538302464
- Author
- Chen M
- Cormack L
- Bovik A
- Publication year
- Publication venue
- IEEE Transactions on Image Processing
External Links
Snippet
We develop a no-reference binocular image quality assessment model that operates on static stereoscopic images. The model deploys 2D and 3D features extracted from stereopairs to assess the perceptual quality they present when viewed stereoscopically …
- 238000001303 quality assessment method 0 title abstract description 20
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic or multiview television systems; Details thereof
- H04N13/02—Picture signal generators
- H04N13/0203—Picture signal generators using a stereoscopic image camera
- H04N13/0239—Picture signal generators using a stereoscopic image camera having two 2D image pickup sensors representing the interocular distance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic or multiview television systems; Details thereof
- H04N13/0003—Stereoscopic image signal coding, multiplexing, processing, recording or transmission
- H04N13/0007—Processing stereoscopic image signals
- H04N13/0022—Aspects relating to depth or disparity adjustment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic or multiview television systems; Details thereof
- H04N13/0003—Stereoscopic image signal coding, multiplexing, processing, recording or transmission
- H04N13/0007—Processing stereoscopic image signals
- H04N13/0025—Equalizing the characteristics of different image components in stereoscopic images, e.g. average brightness or colour balance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
- G06T2207/10012—Stereo images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic or multiview television systems; Details thereof
- H04N13/04—Picture reproducers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic or multiview television systems; Details thereof
- H04N2013/0074—Stereoscopic image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N2213/00—Details of stereoscopic systems
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen et al. | No-reference quality assessment of natural stereopairs | |
Wang et al. | Quality prediction of asymmetrically distorted stereoscopic 3D images | |
Tian et al. | NIQSV+: A no-reference synthesized view quality assessment metric | |
Ryu et al. | No-reference quality assessment for stereoscopic images based on binocular quality perception | |
Tian et al. | A benchmark of DIBR synthesized view quality assessment metrics on a new database for immersive media applications | |
Sohn et al. | Predicting visual discomfort using object size and disparity information in stereoscopic images | |
Benoit et al. | Quality assessment of stereoscopic images | |
Chen et al. | Full-reference quality assessment of stereopairs accounting for rivalry | |
Boev et al. | Towards compound stereo-video quality metric: a specific encoder-based framework | |
Shao et al. | Blind image quality assessment for stereoscopic images using binocular guided quality lookup and visual codebook | |
Sohn et al. | Attention model-based visual comfort assessment for stereoscopic depth perception | |
Jung et al. | Critical binocular asymmetry measure for the perceptual quality assessment of synthesized stereo 3D images in view synthesis | |
Su et al. | Visual quality assessment of stereoscopic image and video: challenges, advances, and future trends | |
Mittal et al. | Algorithmic assessment of 3D quality of experience for images and videos | |
Wang et al. | Quaternion representation based visual saliency for stereoscopic image quality assessment | |
Bosc et al. | Visual quality assessment of synthesized views in the context of 3D-TV | |
Jung et al. | Depth sensation enhancement using the just noticeable depth difference | |
Shao et al. | Models of monocular and binocular visual perception in quality assessment of stereoscopic images | |
Ling et al. | Prediction of the influence of navigation scan-path on perceived quality of free-viewpoint videos | |
Fezza et al. | Stereoscopic image quality metric based on local entropy and binocular just noticeable difference | |
Tsai et al. | Quality assessment of 3D synthesized views with depth map distortion | |
Banitalebi-Dehkordi et al. | An efficient human visual system based quality metric for 3D video | |
Qi et al. | Viewport perception based blind stereoscopic omnidirectional image quality assessment | |
Kim et al. | Quality assessment of perceptual crosstalk on two-view auto-stereoscopic displays | |
Wan et al. | Depth perception assessment of 3D videos based on stereoscopic and spatial orientation structural features |