Multiresolution Image Fusion: Phase Congruency for Spatial Consistency Assessment
نویسندگان
چکیده
Multiresolution and multispectral image fusion (pan-sharpening) requires proper assessment of spectral consistency but also spatial consistency. Many fusion methods resulting in perfect spectral consistency may leak spatial consistency and vice versa, therefore a proper assessment of both spectral and spatial consistency is required. Up to now, only a few approaches were proposed for spatial consistency assessment using edge map comparison, calculated by gradient-like methods (Sobel or Laplace operators). Since image fusion may change intensity and contrast of the objects in the fused image, gradient methods may give disagreeing edge maps of the fused and reference (panchromatic) image. Unfortunately, this may lead to wrong conclusions on spatial consistency. In this paper we propose to use phase congruency for spatial consistency assessment. This measure is invariant to intensity and contrast change and allows to assess spatial consistency of fused image in multiscale way. Several assessment tests on IKONOS data allowed to compare known assessment measures and the measure based on phase congruency. It is shown that phase congruency measure has common trend with other widely used assessment measures and allows to obtain confident assessment of spatial consistency. * Corresponding author. Tel. +49-8153-283672
منابع مشابه
Pixel-Level Image Fusion: The Case of Image Sequences
In pixel-level image sequence fusion, a composite image sequence has to be built of several spatially registered input image sequences. One of the primary goals in image sequence fusion is the temporal stability and consistency of the fused image sequence. To fulfill the preceding desiderata, we propose a novel approach based on a shift invariant extension of the 2D discrete wavelet transform, ...
متن کاملPerformance Assessment of Combinative Pixel-level Image Fusion Based on an Absolute Feature Measurement
In this paper, a new metric for evaluating the performance of the combinative pixel-level image fusion is defined based on an image feature measurement, i.e. phase congruency and its moments, which provide an absolute measurement of image features. By comparing the local cross-correlation of corresponding feature maps of input images and fused output, the quality of the fused result is assessed...
متن کاملMulti-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...
متن کاملEfficient least squares fusion of MRI and CT images using a phase congruency model
This paper presents an efficient and robust approach for MRI–CT image fusion using a phase congruency model. The fast fourier transform (FFT) is used to efficiently evaluate the similarity cost function. This approach is largely invariant to pixel intensity mappings. 2007 Elsevier B.V. All rights reserved.
متن کاملObject Level Strategy for Spectral Quality Assessment of High Resolution Pan-sharpen Images
Panchromatic and multi-spectral images produced by the remote sensing satellites are fused together to provide a multi-spectral image with a high spatial resolution at the same time. The spectral quality of the fused images is very important because the quality of a large number of remote sensing products depends on it. Due to the importance of the spectral quality of the fused images, its eval...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010