Restoration of Blurred Image Using Biogeography Based Optimization

Nitika Jearth; Rekha Rani; Bharti Jyoti; Raju Sharma

An Image is a representation of a two-dimensional image using ones and zeros. Image processing modifies pictures to improve them by extracting information. The common problems in an image are blur and noise due to out of focused capturing by camera. Blur can be removed by technique called image restoration technique. Blur can also be removed by applying Discrete Cosine Transform (DCT), Discrete Fourier Transformation (DFT), Fast Fourier Transform (FFT) for restoration of image. To improve quality of restored image particle swarm optimization, ant colony optimization, genetic algorithm and biogeography based optimization techniques are used. In this paper the technique of biogeography based optimization is applied for restoration of out of focused image. In this paper the result of biogeography based optimization (BBO) is compared with genetic algorithm. Applying Biogeography based optimization technique for restoration improves the quality of images and give better results than genetic algorithm for human viewing. The obtained result image will get better visual perceptibility.

Select Volume / Issues:

• Volume 4 Issue 2, March. 2013

Year:

2013

Type of Publication:

Article

Keywords:

Image Restoration; Genetic Algorithm; Biogeography Based Optimization BBO; Degradation Function; Suitability Index Variables SIV

Journal:

IJECCE

Volume:

4

Number:

2

Pages:

610-614

Month:

March