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am stuck in coding part...i need your help to fill the crack of the image where i click particular pixel of the image
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digital image processing
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what is image restoration?
image restoration attempts to restore images that have been degraded
identify the degradation process and attempt to reverse it
similar to image enhancement, but more objective
noise and images
the sources of noise in digital images arise during image acquisition (digitization) and transmission
imaging sensors can be affected by ambient conditions
interference can be added to an image during transmission
noise example
the test pattern to the right is ideal for demonstrating the addition of noise
the following slides will show the result of adding noise based on various models to this image
filtering to remove noise
we can use spatial filters of different kinds to remove different kinds of noise
the arithmetic mean filter is a very simple one and is calculated as follows:
band reject filters
removing periodic noise form an image involves removing a particular range of frequencies from that image
band reject filters can be used for this purpose
an ideal band reject filter is given as follows:
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digital image processing
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introduction
in the modern world digital image processing plays a major role. in the field of communications the word adigital imageis a numeric representation (normallybinary) of a two-dimensionalimage. depending on whether theimage resolutionis fixed, it may be ofvectororrastertype. without qualifications, the term "digital image" usually refers toraster imagesalso called bitmap images. multisensor data fusion has become a discipline to which more and more general formal solutions to a number of application cases are demanded. several situations in image processing simultaneously require high spatial and high spectral information in a single image. this is important in remote sensing. however, the instruments are not capable of providing such information either by design or because of observational constraints. one possible solution for this is data fusion.. in this project report we fuse two images for extracting information from bothe the images simultaneously such that whenever the combination gives us the best result. this project report is design with the help of matlab software.
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digital image processing
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overview
digital image processing uses networks silicon storage appliances are uniquely suited to satisfy the stringent storage networking requirements currently necessary to provide film digital intermediate environments with the high-bandwidth, high quality-of-service content access needed to eliminate workflow-related bottlenecks while providing the scalability in performance and capacity for the next generation.
the digital image processing has a good understanding of the technology utilized in digital postproduction for film, as well as disk storage. the fairly new digital intermediate process (di) is poised to revolutionize the way filmed content is delivered through a post production pipeline.
a variety of enabling technologies, including high-resolution sensors, scanners, compute and graphics processing, imaging software, networking and storage interconnects, file systems and disk storage have all advanced to a level that allows the development of a fully digital, real-time 2k film resolution pipeline.
image processing
the creative process in di may be summed up as
