Image processing has been used in many fields, such as industry, military, medical imaging and so on. but most systems are developed based on PC; can not meet the requirement of real time and high speed in some occasions, so the image processing system is increasingly developed along with the development of electronic technique, especially dsp. for the real-time image processing system, need high speed due to mass image data, so we can use dsp to solve this problem. and here we will implement all the concepts of image processing in tms320c6713 by developing the algorithms, compiling them in ccs, and implementing it in tms320c6713.
Image Fusion is a framework where you can produce a composite image, which contains improved or simply better information about the target or scene compared to the individual source images. Image Fusion had its beginning with the concept of simply averaging the intensities of the corresponding pixels of the set of input images, thus producing a fused image. Many advances have occurred in the field of image fusion ever since using advanced methods such as Discrete Wavelet Transformations and Pyramidal Methods to merge images.