Putting Reproducible Signal Processing into Practice: A Case Study in Watermarking

Barni, Mauro; Pérez-González, Fernando; Comesaña, Pedro; Bartoli, G.

doi:10.1109/icassp.2007.367306

Cited by 11 publications

(9 citation statements)

References 6 publications

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“…However, there is more to science than simply experimental analysis, and the equation "scientific = experimental" is too naive to satisfactorily capture the multifaceted nature of the scientific method (granted that there exists one) (Hacking, 1983;Radder, 2003). For instance, one criterion which has been typically neglected in our field is the "reproducibility" of experiments, an aspect which some researchers have already begun to discuss (Haralick, 1986;Barni and Perez-Gonzalez, 2005;Barni et al, 2007;Drummond, 2009).…”

Section: Discussionmentioning

confidence: 97%

Pattern recognition between science and engineering: A red herring?

Pelillo

Scantamburlo

Schiaffonati

2015

Pattern Recognition Letters

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Section: Discussionmentioning

confidence: 97%

Pattern recognition between science and engineering: A red herring?

Pelillo

Scantamburlo

Schiaffonati

2015

Pattern Recognition Letters

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“…Although not noted greatly by geographers at the time of writing (but see Brunsdon and Singleton, 2015), it has gained attention in a number of areas where quantitative data analysis is used, for example: statistics (Buckheit and Donoho, 1995;Gentleman and Temple Lang, 2004), econometrics (Koenker, 1996) and signal processing (Barni et al, 2007). It is argued here that there is a strong case for a focus on this topic in quantitative geography.…”

Section: Reproducibility In Researchmentioning

confidence: 97%

Quantitative methods I

Brunsdon

2016

Progress in Human Geography

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Reproducible quantitative research is research that has been documented sufficiently rigorously that a third party can replicate any quantitative results that arise. It is argued here that such a goal is desirable for quantitative human geography, particularly as trends in this area suggest a turn towards the creation of algorithms and codes for simulation and the analysis of Big Data. A number of examples of good practice in this area are considered, spanning a time period from the late 1970s to the present day. Following this, practical aspects such as tools that enable research to be made reproducible are discussed, and some beneficial side effects of adopting the practice are identified. The paper concludes by considering some of the challenges faced by quantitative geographers aspiring to publish reproducible research.

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“…2) According to [8], the human eye is less sensitive to the noise in diagonal directions of the scene.…”

Section: Human Visual Systemmentioning

confidence: 99%

Robust encoded spread spectrum image watermarking in contourlet domain

García-Ugalde

Cedillo-Hernandez

Morales-Delgado

et al. 2012

2012 6th International Conference on Signal Processing and Communication Systems

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This paper presents a new robust watermarking system for digital images. The main challenge in every watermarking algorithm is to create a high capable, robust and imperceptible scheme. Unlike other watermarking methods, our system encodes the watermark using a convolutional encoder and embeds the encoded watermark in the transform domain of an image using a direct sequence spread spectrum technique to accomplish a high robustness. The embedded watermark bits are retrieved computing the correlation between the watermarked coefficients and the pseudorandom sequences used in the watermark embedding. In addition, the retrieved bits are decoded using the Viterbi algorithm to recover the hidden watermark. A low perceptibility of the watermark on the host image is preferred, therefore, some features of the human visual system are considered for achieving a high perceptual quality of the watermarked image. For assessing such quality, a structural similarity index measure is adopted. Our watermarking algorithm is robust to common image processes in the spatial domain.

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Putting Reproducible Signal Processing into Practice: A Case Study in Watermarking

Cited by 11 publications

References 6 publications

Pattern recognition between science and engineering: A red herring?

Pattern recognition between science and engineering: A red herring?

Quantitative methods I

Robust encoded spread spectrum image watermarking in contourlet domain

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