[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Beghdadi et al., 2018 - Google Patents

Ceed-a database for image contrast enhancement evaluation

Beghdadi et al., 2018

Document ID
8278021874989854887
Author
Beghdadi A
Qureshi M
Sdiri B
Deriche M
Alaya-Cheikh F
Publication year
Publication venue
2018 Colour and Visual Computing Symposium (CVCS)

External Links

Snippet

For the first time, a database dedicated to contrast enhancement performance evaluation is proposed. This database has recently been developed by our group. In this paper, a detailed description of this database and the methodology we used to build it are discussed …
Continue reading at ieeexplore.ieee.org (other versions)

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
    • 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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • 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
    • G06T5/007—Dynamic range modification
    • G06T5/009—Global, i.e. based on properties of the image as a whole
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • 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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • 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
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Qureshi et al. Towards the design of a consistent image contrast enhancement evaluation measure
Aydin et al. Dynamic range independent image quality assessment
Ferzli et al. A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
Liu et al. A no-reference metric for perceived ringing artifacts in images
Panetta et al. No reference color image contrast and quality measures
CN110046673B (en) No-reference tone mapping image quality evaluation method based on multi-feature fusion
Liu et al. Visual attention in objective image quality assessment: Based on eye-tracking data
Gu et al. The analysis of image contrast: From quality assessment to automatic enhancement
US8285076B2 (en) Methods and apparatus for visual sub-band decomposition of signals
Liu et al. A high-definition diversity-scene database for image quality assessment
Tourancheau et al. Impact of subjective dataset on the performance of image quality metrics
Chen et al. Blind quality index for tone-mapped images based on luminance partition
Wang et al. Exploiting local degradation characteristics and global statistical properties for blind quality assessment of tone-mapped HDR images
Beghdadi et al. Ceed-a database for image contrast enhancement evaluation
CN104346809A (en) Image quality evaluation method for image quality dataset adopting high dynamic range
Kundu et al. Perceptual quality evaluation of synthetic pictures distorted by compression and transmission
Sadah et al. Exploiting hybrid methods for enhancing digital x-ray images.
Dixit et al. A review on image contrast enhancement in colored images
Akyüz et al. Perceptual evaluation of tone-reproduction operators using the Cornsweet--Craik--O'Brien illusion
Hu et al. Jpeg ringing artifact visibility evaluation
Gao et al. Color image attribute and quality measurements
Gracheva et al. Subjective assessment of the quality of static and video images from mobile phones
Ponomarenko et al. Statistical evaluation of no-reference image visual quality metrics
Jaafar et al. Improving measurement bias of structural similarity index (ssim) using absolute difference equation
Kim et al. No-reference contrast measurement for color images based on visual stimulus