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Chapter 2 Literature Review 2.1. Reported Works on Image Enhancement Using Evolved Operators
| Content Provider | Semantic Scholar |
|---|---|
| Abstract | [6] Presented a circuit representation technique for automated circuit design. The applications are mainly in the areas of classification and control when complete circuit design is applied. There are also some examples of circuit parameter tuning. It is based on digital gate level technology using GA as the evolutionary algorithm. However, promising results are given for analog designs, where evolution is used to find optimal parameters for analog components. [14] Proposed image Filter Design with Evolvable Hardware. It introduces a new approach to automatic design of image filters for a type of noise. The approach employs evolvable hardware at simplified functional level and produces circuits that outperform conventional designs. If an image is available both with and without noise, the whole process of filter design can be done automatically, without the influence of a designer. [19] Proposed virtual reconfigurable Circuits for Real-World Applications of Evolvable Hardware. The evolved image filters use Cartesian genetic programming (CGP) applied at the functional level. Furthermore, the hardware implementation of CGP was proposed for FPGAs. However, in his approach image filters were evolved only by using a virtual reconfigurable circuit simulated in software that could eventually be implemented on the top of a conventional FPGA. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://shodhganga.inflibnet.ac.in/bitstream/10603/6020/11/11_chapter%202.pdf |
| Alternate Webpage(s) | http://shodhganga.inflibnet.ac.in:8080/jspui/bitstream/10603/6020/11/11_chapter%202.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
