Significance of perceptually relevant image decolorization for scene classification

Sowmya Viswanathan; Govind Divakaran; Kutti Padanyl Soman

doi:10.1117/1.JEI.26.6.063019

28 November 2017 Significance of perceptually relevant image decolorization for scene classification

Sowmya Viswanathan, Govind Divakaran, Kutti Padanyl Soman

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 6, 063019 (November 2017). https://doi.org/10.1117/1.JEI.26.6.063019

Abstract

Color images contain luminance and chrominance components representing the intensity and color information, respectively. The objective of this paper is to show the significance of incorporating chrominance information to the task of scene classification. An improved color-to-grayscale image conversion algorithm that effectively incorporates chrominance information is proposed using the color-to-gray structure similarity index and singular value decomposition to improve the perceptual quality of the converted grayscale images. The experimental results based on an image quality assessment for image decolorization and its success rate (using the Cadik and COLOR250 datasets) show that the proposed image decolorization technique performs better than eight existing benchmark algorithms for image decolorization. In the second part of the paper, the effectiveness of incorporating the chrominance component for scene classification tasks is demonstrated using a deep belief network-based image classification system developed using dense scale-invariant feature transforms. The amount of chrominance information incorporated into the proposed image decolorization technique is confirmed with the improvement to the overall scene classification accuracy. Moreover, the overall scene classification performance improved by combining the models obtained using the proposed method and conventional decolorization methods.

Citation Download Citation

Sowmya Viswanathan, Govind Divakaran, and Kutti Padanyl Soman "Significance of perceptually relevant image decolorization for scene classification," Journal of Electronic Imaging 26(6), 063019 (28 November 2017). https://doi.org/10.1117/1.JEI.26.6.063019

Received: 16 June 2017; Accepted: 7 November 2017; Published: 28 November 2017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available