Zhao et al., 2015 - Google Patents
Objective assessment of perceived sharpness of projection displays with a calibrated cameraZhao et al., 2015
- Document ID
- 5171770138494105841
- Author
- Zhao P
- Cheng Y
- Pedersen M
- Publication year
- Publication venue
- 2015 Colour and Visual Computing Symposium (CVCS)
External Links
Snippet
Sharpness is an important image quality attribute for projection displays. However, it has not been well studied for projection displays in the existing literature. In this paper, we conduct an experimental study of perceived sharpness on projection displays in a controlled …
- 230000003287 optical 0 abstract description 6
Classifications
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
- H04N5/225—Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
- H04N5/232—Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles
-
- 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
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113992861B (en) | Image processing method and image processing device | |
| US9706111B2 (en) | No-reference image and video quality evaluation | |
| CN114945943B (en) | Estimating depth based on iris size | |
| Phillips et al. | Camera image quality benchmarking | |
| Ciancio et al. | No-reference blur assessment of digital pictures based on multifeature classifiers | |
| EP3134850B1 (en) | Method for controlling a camera based on processing an image captured by other camera | |
| US7764844B2 (en) | Determining sharpness predictors for a digital image | |
| KR101117507B1 (en) | Image quality evaluation device and method | |
| Krasula et al. | Preference of experience in image tone-mapping: Dataset and framework for objective measures comparison | |
| Eilertsen et al. | How to cheat with metrics in single-image HDR reconstruction | |
| Katsigiannis et al. | Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality | |
| Xing et al. | Assessment of stereoscopic crosstalk perception | |
| Rabie | Adaptive hybrid mean and median filtering of high-ISO long-exposure sensor noise for digital photography | |
| CN104954627B (en) | An information processing method and electronic device | |
| Singh et al. | Weighted least squares based detail enhanced exposure fusion | |
| Seybold et al. | Towards an evaluation of denoising algorithms with respect to realistic camera noise | |
| Rajashekar et al. | Perceptual quality assessment of color images using adaptive signal representation | |
| Zhao et al. | Objective assessment of perceived sharpness of projection displays with a calibrated camera | |
| Cho et al. | Tone-mapping requirements in real-time videos for studying the dynamism of views-out in virtual reality | |
| Fry et al. | Bridging the gap between imaging performance and image quality measures | |
| Bisagno et al. | Virtual camera modeling for multi-view simulation of surveillance scenes | |
| Zhao et al. | Measuring the relative image contrast of projection displays | |
| CN112055131A (en) | Video processing system and method | |
| Wadhokar et al. | Ssim technique for comparison of images | |
| Barkowsky et al. | On the perceptual similarity of realistic looking tone mapped high dynamic range images |