Abstract – Optical aberrations of a lens introduce lens blur to photographed images. Lens blur is non-stationary with the amount and characteristics of blur varying depending on spatial pixel locations in an image. This work presents non-stationary deep networks for the restorat

Abstract – This paper presents a recurrent learning-based facial attribute recognition method that mimics human observers’ visual fixation. The concentrated views of a human observer while focusing and exploring parts of a facial image over time are generated and fed into

Abstract – Applying alpha matting to large images is a challenging task because of its computational complexity. This paper provides a divide and conquer strategy for performing closed-form matting. The matting problem, defined for an entire image, is broken down into systems of

Abstract – In this paper we propose an efficient method for a convex optimization problem which involves a large nonsymmetric and non-Toeplitz matrix. The proposed method is an instantiation of the alternating direction method of multipliers applied in Krylov subspace. Our metho

Abstract – Fingerprint recognition systems are vulnerable to impersonation by fake or spoof fingerprints. Fingerprint liveness detection is a step to ensure whether a scanned fingerprint is live or fake prior to a recognition step. This paper presents a fingerprint liveness dete

Abstract – Images acquired by a camera show lens blur due to imperfection in the optical system even when images are properly focused. Lens blur is non-stationary in a sense that the amount of blur depends on pixel locations in a sensor. Lens blur is also asymmetric in a sense t

Abstract – This chapter presents an interpolation method of low-computation for a Region Of Interest (ROI) using multiple low-resolution images of the same scene. Interpolation methods using multiple images require the accurate motion information between the reference image of i

Abstract – In this paper, we propose a novel contrast enhancement algorithm for low light level images, which preserves image details and color constancy based on Retinex. We decompose an input low contrast image into luminance and chrominance components in Lab color space, whic

Abstract – Environmental illumination can degrade performance of face recognition systems. This paper presents a method to reduce the effect of environmental illumination for face recognition with near infrared (NIR) imaging systems. The camera response function that maps the im

Abstract – The color, gloss, and texture (i.e., pearliness) of 15 glossy samples containing pearl flakes were investigated. Psychophysical experimental data from 21 observers were compared with measurement data. Color measurement data obtained using the CIE D/0 and ASTM E2539-08