Neighbour Local Variability for Multi-Focus Images Fusion
نویسندگان
چکیده
منابع مشابه
A comparison of different focus measures for use in fusion of multi-focus noisy images
Impulsive noise (IN) produced by image sensors and/or communication channels corrupts images in many practical applications. This noise may cause miscalculation of sharpness values which, in turn, introduce considerable errors in fused images. In this paper, conventional focus measures and frequency selective weighted median filter (FSWM) based focus measure are evaluated for fusion of multi-fo...
متن کاملMulti-focus Image Fusion Based on Local Clarity of SCM
In this paper, a novel image fusion algorithm based on local clarity of spiking cortical model (SCM) is put forward. Firstly, the source images are fused based on local area clarity, and this strategy can keep the focus area of source images. Then, we utilize the SCM to fuse the focus edge of source images. There are five parameters that need to be set in SCM. However, these parameters are hard...
متن کاملImage matting for fusion of multi-focus images in dynamic scenes
1566-2535/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.inffus.2011.07.001 ⇑ Corresponding author. Tel.: +86 731 88822924. E-mail addresses: [email protected] (Shutao (X. Kang), [email protected] (J. Hu), yangbin01420 In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The proposed approach consists of three main steps: first, the focus informatio...
متن کاملEfficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation
This paper presents a new image fusion approach for multi-focus image fusion. Considering that for the same scene, the energies of images captured on the focus and without the focuses are different, thus, fusion decision at some regions can be made based on the magnitudes of the energy. Certainly, fusion would be easily carried out once the source images have been segmented as a sequence of reg...
متن کاملCorrecting Multi-focus Images via Simple Standard Deviation for Image Fusion
Image fusion is one of the recent trends in image reg istration which is an essential field of image processing. The basic principle o f this paper is to fuse multi-focus images using simple statistical standard deviation. Firstly, the simple standard deviation for the k×k window inside each of the mult i-focus images was computed. The contribution in this paper came from the idea that the focu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Signal & Image Processing : An International Journal
سال: 2020
ISSN: 2229-3922
DOI: 10.5121/sipij.2020.11603