Image enhancement using Exposure based Sub Image Histogram Equalization

The low exposure image enhancement has become indispensable inimage processing for better visibility. The most challenging in image enhancement is especially to curtail overenhancement problems. This paper presents a method, performs the separation of the histogram based on respective standard intensity deviation value and then recursively equalizes all sub histograms independently. The over-enhancement problem is minimized by this method. It applies more in an underwater image, because of its low light conditions. The experiment results are analyzed in terms of entropy and output image inspection. The proposed method results show significant improvement over earlier recursive based histogram equalization algorithms.

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Hue preserving color image enhancement using guided filter based sub image histogram equalization

2016 Ninth International Conference on Contemporary Computing (IC3) ◽

10.1109/ic3.2016.7880244 ◽

2016 ◽

Cited By ~ 2

Author(s):

Nitish Vig ◽

Sumit Budhiraja ◽

Jaget Singh

Keyword(s):

Image Enhancement ◽

Color Image ◽

Histogram Equalization ◽

Guided Filter ◽

Image Histogram ◽

Color Image Enhancement

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Image enhancement based on equal area dualistic sub-image histogram equalization method

IEEE Transactions on Consumer Electronics ◽

10.1109/30.754419 ◽

1999 ◽

Vol 45 (1) ◽

pp. 68-75 ◽

Cited By ~ 570

Author(s):

Yu Wang ◽

Qian Chen ◽

Baeomin Zhang

Keyword(s):

Image Enhancement ◽

Histogram Equalization ◽

Equal Area ◽

Image Histogram ◽

Equalization Method

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Perbandingan Kapasitas Pesan pada Steganografi DCT Sekuensial dan Steganografi DCT F5 dengan Penerapan Point Operation Image Enhancement

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ◽

10.22146/ijccs.11187 ◽

2016 ◽

Vol 10 (1) ◽

pp. 35

Author(s):

Dian Hafidh Zulfikar ◽

Agus Harjoko

Keyword(s):

Image Enhancement ◽

Histogram Equalization ◽

Test Results ◽

Stego Image ◽

Image Histogram ◽

Dct Transform ◽

A Value ◽

Test Parameters ◽

Dct Coefficients ◽

Contrast Stretching

Steganographic process on the DCT transform is generally done on the value of DCT quantization process results that have a value other than 0, this relates to the distribution of the diversity of pixels in the image. Applying point operation of image enhancement (POIE) in the form of histogram equalization, contrast stretching, brigthening and gamma correction on the image of the reservoir is associated with the image histogram . Test parameters used is the number of bits that can be accommodated message, PSNR and MSE value, and the value of DCT coefficients quantization results. Based on test results that have to be got several conclusions that capacity steganographic message on DCT sequential greater than the DCT F5 steganography either before or after application of the application POIE, stego image quality on DCT steganography F5 better than the sequential DCT steganography well before the application POIE and after application of POIE, both F5 and steganography steganography DCT DCT sequential equally resistant to manipulation of stego image.

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Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.21 ◽

2017 ◽

Vol 7 (8) ◽

pp. 56

Author(s):

Ashish Dwivedi ◽

Nirupma Tiwari

Keyword(s):

Image Enhancement ◽

Color Image ◽

Human Perception ◽

Histogram Equalization ◽

Wavelet Shrinkage ◽

Visual Appearance ◽

Enhancement Method ◽

Fuzzy Histogram ◽

Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

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