Multi-Focus Image Fusion Through Gradient- Based Decision Map Construction and Mathematical Morphology
نویسندگان
چکیده
منابع مشابه
Multi-focus image fusion using clarity map
A novel method to compute the clarity map from single image based on the local maxima and minima information inside image is proposed in this paper. The well-focused region can be easily identified according to the significant pixels inside the clarity map of image. Our method utilizes the clarity map difference between two source images as the focus criteria to implement multi-focus image fusi...
متن کاملMulti-Exposure and Multi-Focus Image Fusion in Gradient Domain
A multi-exposure and multi-focus image fusion algorithm is proposed. The algorithm is developed for color images and is based on blending the gradients of the luminance components of the input images using the maximum gradient magnitude at each pixel location and then obtaining the fused luminance using a Haar wavelet-based image reconstruction technique. This image reconstruction algorithm is ...
متن کاملFPGA-Based Multi-Focus Image Fusion Techniques
Image fusion is a process which combines the data from two or more source images from the same scene to generate one single image containing more precise details of the scene than any of the source images. Among many image fusion methods like averaging, principle component analysis and various types of Pyramid Transforms, Discrete cosine transform, Discrete Wavelet Transform special frequency a...
متن کاملMulti-focus Image Fusion Based on Fuzzy and Wavelet Transform
In this paper, we proposed a new method for spatially registered multi-focus images fusion. Image fusion based on wavelet transform is the most commonly fusion method, which fuses the source images information in wavelet domain according to some fusion rules. There are some disadvantages in Discrete Wavelet Transform, such as shift variance and poor directionality. Also, because of the uncertai...
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 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: IEEE Access
سال: 2016
ISSN: 2169-3536
DOI: 10.1109/access.2016.2604480