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dc.contributor.authorKaur, Surinder
dc.contributor.authorChaudhary, Gopal
dc.contributor.authorDinesh Kumar, Javalkar
dc.contributor.authorPillai, Manu S.
dc.contributor.authorGupta, Yash
dc.contributor.authorKhari, Manju
dc.contributor.authorGarcía-Díaz, Vicente
dc.contributor.authorParra Fuente, Javier
dc.date2022-12
dc.date.accessioned2022-12-14T13:34:35Z
dc.date.available2022-12-14T13:34:35Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/13930
dc.description.abstractDigital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed over the years, and novel approaches continue to emerge. This paper proposes a new technique for optimizing image compression using Fast Fourier Transform (FFT) and Intelligent Water Drop (IWD) algorithm. IWD-based FFT Compression is a emerging ethodology, and we expect compression findings to be much better than the methods currently being applied in the domain. This work aims to enhance the degree of compression of the image while maintaining the features that contribute most. It optimizes the FFT threshold values using swarm-based optimization technique (IWD) and compares the results in terms of Structural Similarity Index Measure (SSIM). The criterion of structural similarity of image quality is based on the premise that the human visual system is highly adapted to obtain structural information from the scene, so a measure of structural similarity provides a reasonable estimate of the perceived image quality.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 7, nº 7
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/3085es_ES
dc.rightsopenAccesses_ES
dc.subjectstructural similarity indexes_ES
dc.subjectfast fourier transformes_ES
dc.subjectintelligent water dropes_ES
dc.subjectimage compressiones_ES
dc.subjectIJIMAIes_ES
dc.subjectScopuses_ES
dc.titleOptimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithmes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2022.01.004


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