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Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …
to the existence of quality degradations introduced in various stages of visual signal …
Mobile computational photography: A tour
The first mobile camera phone was sold only 20 years ago, when taking pictures with one's
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is …
Learning a deep single image contrast enhancer from multi-exposure images
Due to the poor lighting condition and limited dynamic range of digital imaging devices, the
recorded images are often under-/over-exposed and with low contrast. Most of previous …
recorded images are often under-/over-exposed and with low contrast. Most of previous …
Comparison of full-reference image quality models for optimization of image processing systems
The performance of objective image quality assessment (IQA) models has been evaluated
primarily by comparing model predictions to human quality judgments. Perceptual datasets …
primarily by comparing model predictions to human quality judgments. Perceptual datasets …
Robust multi-exposure image fusion: a structural patch decomposition approach
We propose a simple yet effective structural patch decomposition approach for multi-
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …
Fast multi-scale structural patch decomposition for multi-exposure image fusion
Exposure bracketing is crucial to high dynamic range imaging, but it is prone to halos for
static scenes and ghosting artifacts for dynamic scenes. The recently proposed structural …
static scenes and ghosting artifacts for dynamic scenes. The recently proposed structural …
Optimizing multistage discriminative dictionaries for blind image quality assessment
State-of-the-art algorithms for blind image quality assessment (BIQA) typically have two
categories. The first category approaches extract natural scene statistics (NSS) as features …
categories. The first category approaches extract natural scene statistics (NSS) as features …
Multi-exposure image fusion by optimizing a structural similarity index
We propose a multi-exposure image fusion (MEF) algorithm by optimizing a novel objective
quality measure, namely the color MEF structural similarity (MEF-SSIM c) index. The design …
quality measure, namely the color MEF structural similarity (MEF-SSIM c) index. The design …
Deep tone map** operator for high dynamic range images
A computationally fast tone map** operator (TMO) that can quickly adapt to a wide
spectrum of high dynamic range (HDR) content is quintessential for visualization on varied …
spectrum of high dynamic range (HDR) content is quintessential for visualization on varied …
No-reference quality assessment of tone-mapped HDR pictures
Being able to automatically predict digital picture quality, as perceived by human observers,
has become important in many applications where humans are the ultimate consumers of …
has become important in many applications where humans are the ultimate consumers of …