Modified gain intervention refinement filter and multiobjective particle swarm optimization based local detail enhancement technique

Image enhancement plays an important role in improving the quality of the poor image. Most of existing image enhancement approaches suffer from the problems of color distortion, edge preservation, and halo artifacts. In this paper, an effective local image enhancement technique for remotely sensed images is proposed to enhance the spectral details. The proposed technique utilizes Particle Swarm Optimization (PSO) to enhance the spatial information of the image. Also, PSO based enhancement will be followed by the modified gain intervention refinement filter, to reduce the gradient reversal artifacts and halo artifacts. More distinctively, the proposed PSO based enhancement utilizes the sigmoid function and the local histogram to maximize the spatial information. The proposed technique is compared with some well-known image enhancement approaches. The comparative analysis has clearly proven that the result produced by proposed technique has natural contrast and rich spectral details without introducing halo and gradient reversal artifacts.