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We propose Deep Decomposition of Circularly Symmetric Gabor Wavelet (DD-CSGW) for rotation-invariant texture image classification. Circularly Symmetric Gabor Wavelet (CSGW) is rotation-invariant tool for image analysis. However, CSGW has an obvious shortcoming: it extracts less discriminative information from image due to lack of directional selectivity.

In this paper, we propose complex form of local orientation plane (Comp-LOP) for object tracking. Comp-LOP is a simple but effective descriptor, which is robust to occlusion for object tracking. It effectively considers spatiotemporal relationship between the target and its surrounding regions in a correlation filter framework by the complex form, which successfully deals with the heavy occlusion problem. Moreover, scale estimation is performed to treat target scale variations for improving tracking accuracy.

In this paper, we propose naturalness-preserved tone mapping in images based on perceptual quantization (PQ). PQ is a transfer function based on Barten's contrast sensitive function (CSF) which represents human visual perception on luminance, and we adopt it to generate a limit curve for perceptual contrast enhancement. First, we obtain a limit curve in an image based on PQ transfer function to adjust the degree of contrast enhancement. Second, we redistribute the histogram using the limit curve and achieve perceptual contrast enhancement.

Reduced-reference (RR) image quality assessment (IQA)metric aims to employ less partial information about the original reference image to achieve higher evaluation accuracy. In this paper, we propose a novel RRIQA metric based on the divisive normalization transform (DNT) in the discrete nonseparable shearlet transform (DNST) domain.