A novel algorithm for blocking artifacts removal based on adaptive fuzzy filter in compressed images

2012 ◽  
Author(s):  
Seydi Kacmaz ◽  
Sema Koc Kayhan ◽  
Ergun Ercelebi
Keyword(s):  
Fuzzy Filter ◽  
Blocking Artifacts ◽  
Adaptive Fuzzy ◽  
Compressed Images ◽  
Artifacts Removal ◽  
Novel Algorithm

An adaptive fuzzy filter for coding artifacts removal in video and image

2007 ◽  
Vol 8 (6) ◽  
pp. 841-848 ◽  
Author(s):  
Jing Wu ◽  
Xiu-qing Ye ◽  
Wei-kang Gu
Keyword(s):  
Fuzzy Filter ◽  
Adaptive Fuzzy ◽  
Artifacts Removal

Detecting Non-Aligned Double JPEG Compression Based on Amplitude-Angle Feature

2021 ◽  
Vol 17 (4) ◽  
pp. 1-18
Author(s):  
Jinwei Wang ◽  
Wei Huang ◽  
Xiangyang Luo ◽  
Yun-Qing Shi ◽  
Sunil Kr. Jha
Keyword(s):  
Quality Factor ◽  
Color Image ◽  
Binary Classification ◽  
Image Editing ◽  
Blocking Artifacts ◽  
Jpeg Images ◽  
Compressed Images ◽  
Editing Operation ◽  
Double Jpeg Compression ◽  
Extraction Scheme

Due to the popularity of JPEG format images in recent years, JPEG images will inevitably involve image editing operation. Thus, some tramped images will leave tracks of Non-aligned double JPEG ( NA-DJPEG ) compression. By detecting the presence of NA-DJPEG compression, one can verify whether a given JPEG image has been tampered with. However, only few methods can identify NA-DJPEG compressed images in the case that the primary quality factor is greater than the secondary quality factor. To address this challenging task, this article proposes a novel feature extraction scheme based optimized pixel difference ( OPD ), which is a new measure for blocking artifacts. Firstly, three color channels (RGB) of a reconstructed image generated by decompressing a given JPEG color image are mapped into spherical coordinates to calculate amplitude and two angles (azimuth and zenith). Then, 16 histograms of OPD along the horizontal and vertical directions are calculated in the amplitude and two angles, respectively. Finally, a set of features formed by arranging the bin values of these histograms is used for binary classification. Experiments demonstrate the effectiveness of the proposed method, and the results show that it significantly outperforms the existing typical methods in the mentioned task.

Removal of random valued impulse noise from grayscale images using quadrant based spatially adaptive fuzzy filter

2020 ◽  
Vol 169 ◽  
pp. 107403 ◽  
Author(s):  
M. Nadeem ◽  
Ayyaz Hussain ◽  
Asim Munir ◽  
M. Habib ◽  
M. Tahir Naseem
Keyword(s):  
Impulse Noise ◽  
Fuzzy Filter ◽  
Adaptive Fuzzy ◽  
Spatially Adaptive ◽  
Grayscale Images

scholarly journals Adaptive Fuzzy Filtering for Artifact Reduction in Compressed Images and Videos

2009 ◽  
Vol 18 (6) ◽  
pp. 1166-1178 ◽  
Author(s):  
Dung T. Vo ◽  
Truong Q. Nguyen ◽  
Sehoon Yea ◽  
Anthony Vetro
Keyword(s):  
Artifact Reduction ◽  
Adaptive Fuzzy ◽  
Compressed Images
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