Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/29855
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Automatic enhancement of noisy image sequences through local spatio-temporal spectrum analysis

AutorNestares, Óscar CSIC; Miravet, Carlos; Santamaría, Javier; Navarro, Rafael CSIC ORCID
Palabras claveImage enhancement
noisy sequences
joint transforms
image segmentation
motion estimation
Fecha de publicaciónnov-1999
EditorThe International Society for Optics and Photonics
CitaciónOptical Engineering 39: 1457-1469 (2000)
ResumenA fully automatic method is proposed to produce an enhanced image from a very noisy sequence consisting of a translating object over a background with different translation motion. The method is based on averaging registered versions of the frames in which the object has been motion compensated. Conventional techniques for displacement estimation are not adequate for these very noise sequences, and thus a new strategy has been used taking advantage of the simple model of the sequences. First, the local spatio-temporal spectrum is estimated through a bank of multidirectional/multiscale third order Gaussian derivative filters, yielding a representation of the sequence that facilitates further processing and analysis tasks. Then, energy-related measurements describing the local texture and motion are easily extracted from this representation. These descriptors are used to segment the sequence based on a local joint measure of motion and texture. Once the object of interest has been segmented, its velocity is estimated applying the gradient constraint to the output of a directional band-pass filter for all pixels belonging to the object. Velocity estimates are then used to compensate the motion prior to the average. The results obtained with real sequences of moving ships taken under very noisy conditions are highly satisfactory, demonstrating the robustness and usefulness of the proposed method.
DescripciónContiene: 13 ilustraciones, 2 tablas y fórmulas
URIhttp://hdl.handle.net/10261/29855
DOI10.1.1.35.3627
ISSN0091-3286
Aparece en las colecciones: (CFMAC-IO) Artículos

Ficheros en este ítem:
Fichero Descripción Tamaño Formato
10.1.1.35.3627.pdf352,34 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

Page view(s)

281
checked on 27-mar-2024

Download(s)

232
checked on 27-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.