5.6.4.1 Assessment of Sharpness, Evaluation of Sharpening

Chapter Contents (Back)
Sharpness. Image Quality.

Nuutinen, M.[Mikko], Orenius, O.[Olli], Saamanen, T.[Timo], Oittinen, P.[Pirkko],
A framework for measuring sharpness in natural images captured by digital cameras based on reference image and local areas,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1202
BibRef

Liu, Y.P.[Yi-Peng], Jin, J.[Jing], Wang, Q.A.[Qi-Ang], Shen, Y.[Yi],
Phases measure of image sharpness based on quaternion wavelet,
PRL(34), No. 9, July 2013, pp. 1063-1070.
Elsevier DOI 1305
Image sharpness metric; Quaternion wavelet transform; 2D phase; Gaussian blur BibRef

Bahrami, K., Kot, A.C.[Alex Chichung],
A Fast Approach for No-Reference Image Sharpness Assessment Based on Maximum Local Variation,
SPLetters(21), No. 6, June 2014, pp. 751-755.
IEEE DOI 1404
Image edge detection BibRef

Bahrami, K., Kot, A.C.[Alex Chichung],
Efficient Image Sharpness Assessment Based on Content Aware Total Variation,
MultMed(18), No. 8, August 2016, pp. 1568-1578.
IEEE DOI 1608
Gaussian distribution BibRef

Li, L., Wu, D., Wu, J., Li, H., Lin, W., Kot, A.C.,
Image Sharpness Assessment by Sparse Representation,
MultMed(18), No. 6, June 2016, pp. 1085-1097.
IEEE DOI 1605
Atomic measurements BibRef

Li, L.[Leida], Xia, W.[Wenhan], Fang, Y.M.[Yu-Ming], Gu, K.[Ke], Wu, J.[Jinjian], Lin, W.S.[Wei-Si], Qian, J.S.[Jian-Sheng],
Color image quality assessment based on sparse representation and reconstruction residual,
JVCIR(38), No. 1, 2016, pp. 550-560.
Elsevier DOI 1605
Image quality assessment BibRef

Li, L.[Leida], Cai, H., Zhang, Y., Lin, W.S.[Wei-Si], Kot, A.C., Sun, X.M.[Xing-Ming],
Sparse Representation-Based Image Quality Index With Adaptive Sub-Dictionaries,
IP(25), No. 8, August 2016, pp. 3775-3786.
IEEE DOI 1608
feature extraction See also Blind Quality Index for Camera Images with Natural Scene Statistics and Patch-Based Sharpness Assessment. BibRef

Krasula, L., Le Callet, P., Fliegel, K., Klíma, M.,
Quality Assessment of Sharpened Images: Challenges, Methodology, and Objective Metrics,
IP(26), No. 3, March 2017, pp. 1496-1508.
IEEE DOI 1704
Algorithm design and analysis BibRef


Yu, S.D.[Shao-De], Jiang, F.[Fan], Li, L.[Leida], Xie, Y.Q.[Yao-Qin],
CNN-GRNN for Image Sharpness Assessment,
NTIRE16(I: 50-61).
Springer DOI 1704
BibRef

Kržic, A.S., Đonlic, M., Pejcinovic, M., Seršic, D.,
Image sharpness assessment based on local phase coherence and LAD criterion,
WSSIP16(1-4)
IEEE DOI 1608
image restoration BibRef

Kumar, J.[Jayant], Chen, F.[Francine], Doermann, D.[David],
Sharpness estimation for document and scene images,
ICPR12(3292-3295).
WWW Link. 1302
See also Structural similarity for document image classification and retrieval. BibRef

Verbeek, P.W.[Piet W.], Dijk, J.[Judith],
The D-Dimensional Inverse Vector-Gradient Operator and Its Application for Scale-Free Image Enhancement,
CAIP03(738-745).
Springer DOI 0311
BibRef

Dijk, J., de Ridder, D., Verbeek, P.W., Walraven, J., Young, I.T., van Vliet, L.J.,
A New Measure for the Effect of Sharpening and Smoothing Filters on Images,
SCIA99(Image Analysis I). BibRef 9900

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Color in Image Enhancement .


Last update:Nov 18, 2017 at 20:56:18