An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving

Abstract

Abstract. This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the degree of membership of the input image to three categories, i.e. low-, middle-or high-level images. The AFCEDP technique then clips the histogram at different plateau limits that are computed from both the degree of membership and the clipping functions. The classification of an image in the ACEDP technique is done based solely on the intensity range of the maximum number of pixels, which may be inaccurate. In the proposed AFCEDP technique, the image type classification is handled in a better way with the integration of a fuzzy element. The performance of the proposed AFCEDP technique was compared with the conventional ACEDP technique and several state-of-art techniques described in the literature. The simulation results revealed that the AFCEDP technique demonstrates good capability in contrast enhancement and detail preservation. In addition, the experiments using cervical cell images and HEp-2 cell images showed great potential of the AFCEDP technique as a technique for enhancing medical microscopic images.

Peningkatan Kualitas Citra Reduksi Noise Menggunakan Iterative Denoising and Backward Projection-CNN dan TFM-CLAHE Pada Citra 24 Bit

“…Peningkatan kualitas citra setelah mereduksi noise dan meningkatkan kontras citra akan berdampak pada perubahan keberagaman informasi di dalam citra, hasil yang berbeda juga didapatkan untuk citra berkontras rendah [1] [2]. Penurunan kualitas yang diakibatkan adanya derau (noise) atau kontras yang tidak normal pada citra mengakibatkan objek di dalam citra menjadi tidak jelas [3] hal ini bisa disebabkan banyak hal seperti perangkat yang digunakan menimbulkan noise atau tidak dapat menghasilkan kontras yang normal atau bisa juga terjadi pada saat proses pengiriman citra melalui jaringan terjadi penurunan kualitas akibat adanya kompresi pada citra [4].…”

Analisis Kualitas Citra Hasil Reduksi Noise Menggunakan Spatial Median Filter dan Adaptive Fuzzy Filter Terhadap Variasi Kedalaman Citra

“…Proses reduksi noise, sebagai bagian dari peningkatan kualitas citra mengakibatkan informasi di dalam citra juga berubah, hal tersebut menjadi salah satu tantangan pada pengolahan citra [1] [2]. Reduksi noise terhadap citra yang mengalami penurunan kualitas yang diakibatkan adanya derau (noise) pada citra, mengakibatkan objek di dalam citra menjadi tidak jelas [3].…”

Image Qualiy Improvement Using Algorithm Spatial Median Filter And Adaptive Fuzzy Contrast Enhacement

“…Improved image quality in addition to improvements to the salt and pepper noise as well as contrast enhancement. Similar research has been done to improve the quality of image contrast by using Fuzzy Adaptive Contrast Enhancement Algorithm With Details Preserving (AFCEDP) compared to using the same algorithms Adaptive Contrast Enhancement Algorithm difference without using fuzzy [6] obtained AFCEDP get better results without significantly reducing image information [6], Increase the contrast by using brightness and details preserving give better results [7]. In addition there are also applying image contrast enhancement with Fuzzy Method are also able to enhance the image contrast nicely compared with the method of fuzzy sets enhancement, NINT, Pal-King, fuzzy-rulebased,fuzzy Quantitive Measure, Local Fuzzy Enhancement [5],…”

“…Rajesh Kumar [6] also conduct research to compare with Spatial Filter Spatial Mean Median Filter with three scalar colors and varying noise levels obtained Spatial Filter Median give better results. Improved image quality in addition to improvements to the salt and pepper noise as well as contrast enhancement.…”

“…Some of the existing research, apply image enhancement separately between noise removal and contrast enhancement. Kohli and Kaur doing research by comparing the two algorithms eliminate the salt and pepper noise with Spatial Median Filter algorithm (SMF) and Adaptive Noise Reduction, obtained SMF algorithm capable of reducing noise with better outcomes [6].…”