Image classification could be treated as an effective solution to enable keyword-based semantic image retrieval, while feature selection is a key issue in categorization. In this paper, we propose a novel strategy by using feature selection in learning semantic concepts of image categories. To choose representative and informative features for an image category and meanwhile reduce noisy featur...

Blur was naturally analyzed in the frequency domain, by estimating latent sharp image and blur kernel given a blurry image. Recent progress on deblurring always designs end-to-end architectures aims at learning difference between pairs from pixel-level, which inevitably overlooks importance of kernels. This paper reveals an intriguing phenomenon that simply applying ReLU operation domain follow...

Image watermarking refers to the process of embedding an authentication message, called watermark, into the host image to uniquely identify the ownership. In this paper a novel, intelligent, scalable, robust wavelet-based watermarking approach is proposed. The proposed approach employs a genetic algorithm to find nearly optimal positions to insert watermark. The embedding positions coded as chr...