Translation insensitive image similarity in complex wavelet domain

By Zhou Wang, Eero P. Simoncelli. Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2005

345 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/a2ae0d8abe591ac666b9f857b6019e93f89d05b1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. A. Bovik
2. Lei Zhang
3. Kede Ma
4. Dacheng Tao
5. Zhou Wang
6. Luc Van Gool
7. Ming-Hsuan Yang
8. Damon M. Chandler

In Media Technology

1. A. Bovik
2. Kede Ma
3. Zhou Wang
4. Damon M. Chandler
5. Lei Zhang
6. Weisi Lin
7. Eero P. Simoncelli
8. C.-C. Jay Kuo

Citations in the corpus

• Modern Image Quality Assessment (2006, methodology): “In [68], a complex version [63] of the “steerable pyramid” transform [28] is employed.”
• Image Quality Assessment: Unifying Structure and Texture Similarity (2020, methodology): “We add CW-SSIM [23] and three computational models specifically designed for texture similarity - STSIM [30], NPTSM [69] and IGSTQA [70].”
• VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images (2007, methodology): “A recent extension of the SSIM metric has shown complex wavelets to be useful in this regard [81]; a similar approach might also be used as an extension of VSNR.”
• The dual-tree complex wavelet transform (2005, methodology): “CWTs (not specifically the dual-tree CWT) have been used recently for measuring image similarity [116].”
• Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach (2007, methodology): “measured by a variation of the CW-SSIM index equation originally proposed by Wang and Simoncelli [ 36 ]:”
• Image database TID 2013 : Peculiarities , results and perspectives (2016, methodology): “Correspondence to HVS has been evaluated for the following metrics (quality indices): SFF [44], componentwise FSIM and its color version FSIMc [20], PSNR-HA and PSNR-HMA [43], SR-SIM [45], MSSIM [46], MAD index [27], IW-SSIM [19], MSDDM [47], IW-PSNR [19], color version of PSNR which takes into acco”
• Visual Importance Pooling for Image Quality Assessment (2009, methodology): “There also exist non-spatial IQA extensions of SSIM such as the Complex-Wavelet SSIM index (CW-SSIM) [20], [21].”
• Seven Challenges in Image Quality Assessment: Past, Present, and Future Research (2013, background): “In [331], Wang and Simoncelli presented an FR IQA algorithm which can handle minor translations, rotations, and scalings.”
• F Mean Squared Error: Love It or Leave It? (2009, methodology): “SSIM actually takes a variety of forms, depending on whether it is implemented at a single scale [7], [22], over multiple scales [23], or in the wavelet domain [24].”
• Video Quality Assessment Using a Statistical Model of Human Visual Speed Perception (2007, neutral): “The adapted Gabor filter responses are then incorporated into the SSIM [6,10] and the visual information fidelity (VIF) [11] measures for the purpose of VQA.”
• Image Quality Assessment Based on Gradient Similarity (2012, neutral): “It has been also extended using the multiscale analysis [2], complex wavelets [17], and discrete wavelets [18].”