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Single Resolution Image: A Review

Jigna Aggarwal

Abstract


In practically all imaging application we require picture with best caliber. An image's resolution—the smallest feature size that an imaging system can distinguish—can be increased to achieve the highest possible quality. The term "super resolution" (SR) has its own impact on the image processing industry and other industrial applications in addition to the enhancement of resolution. Since both the underlying as well as textural data are protected on account of super goal, yet this may not be fulfilled in the event of normal improvement procedures. SR has a scope of use, for example, SR microscopy, visionary review, video upgrade, criminal examination and satellite and clinical picture handling. PC vision and advanced mechanics are the most recent region that utilizes the SR innovation. Since almost all super resolution techniques are implemented in software systems, no hardware modifications are required, SR technology will be less expensive.


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