Abstract
Image enhancement is an important image processing task that effectively improves the visual quality of an image. This image processing technique performs the operations on the input image in order to get an enhanced image. Histogram technique is a simple enhancement technique that leads to high degree of enhancement and reduces unnatural artifacts. In this research article, a color image enhancement algorithm for low resolution images is proposed. Also, a comparison of performance of various existing histogram enhancement techniques with the proposed algorithm is assessed using three parameters i.e. Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Bit Error Rate (BER). From these parameters, it has been observed that the proposed algorithm well enhances the low resolution images by preserving original hue.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, Upper Saddle (2002)
Umbaugh, S.E.: Computer Vision and Image Processing, p. 209. Prentice Hall, New Jersey (1998)
Zuiderveld, K.: Contrast limited adaptive histogram equalization. In: Graphics Gems IV, pp. 474–485. Academic Press Professional, Inc. (1994)
Pizer, S.M., Amburn, E.P., Austin, J.D., et al.: Adaptive histogram equalization and its variations. Comput. Vis. Graph. Image Processing 39(3), 355–368 (1987)
Kim, Y.T.: Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans. Consum. Electron. 43(1), 1–8 (1997)
Ibrahim, H., Kong, N.S.P.: Brightness preserving dynamic histogram equalization for image contrast enhancement. IEEE Trans. Consum. Electron. 53(4), 1752–1758 (2007)
Kim, M., Chung, M.G.: Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement. IEEE Trans. Consum. Electron. 54(3), 1389–1397 (2008)
Abdullah-Al-Wadud, M., Md. Kabir, H., Dewan, M.A., Chae, O.: A dynamic histogram equalization for image contrast enhancement. IEEE Trans. Consum. Electron. 53(2), 593–600 (2007)
Lidong, H., Wei, Z., Jun, W., Zebin, S.: Combination of contrast limited adaptive histogram equalization and discrete wavelet transform for image enhancement. IET Image Process. 9(10), 908–915 (2015)
Kociołek, M., Materka, A., Strzelecki, M., Szczypiński, P.: Discrete wavelet transform – derived features for digital image texture analysis. In: Proceedings of International Conference on Signals and Electronic Systems, Lodz, Poland, pp. 163–168 (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kaushik, P., Gupta, U. (2017). A Modified BPDHE Enhancement Algorithm for Low Resolution Images. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-10-3325-4_2
Download citation
DOI: https://doi.org/10.1007/978-981-10-3325-4_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3324-7
Online ISBN: 978-981-10-3325-4
eBook Packages: EngineeringEngineering (R0)