مولانا اکرام اﷲ خان ندوی
افسوس ہے کہ گذشتہ مہینہ ہندوستان اور پاکستان کے کئی اصحاب ِ علم وقلم نے وفات پائی، ان میں سب سے ممتاز شخصیت مولانا اکرام اﷲ خان ندوی کی تھی، مرحوم دارالعلوم ندوۃ العلمأ کے دورِ اول کی پیداوار اور اپنی علمی وتصنیفی قابلیت کے اعتبار سے ممتاز حیثیت کے مالک تھے، ان کا وطن شاہجہان پور تھا، اور تعلیم ندوۃ العلمأ میں حاصل کی تھی، انھوں نے مولانا شبلی مرحوم سے باقاعدہ درس تو نہیں لیا تھا، مگر ان کی صحبت کے فیض یافتہ تھے، تعلیم سے فراغت کے بعد کئی سال تک دارالعلوم کے مشہور رسالہ الندوہ کے اڈیٹر رہے، اور کچھ دنوں تک ندوہ کے اہتمام کے فرائض بھی انجام دیئے تھے۔
غالباً ۱۹۲۰ء میں نواب صدر یارجنگ مولانا حبیب الرحمن خان شروانی مرحوم نے اُن کو آل انڈیا مسلم ایجو کیشنل کانفرنس کے اسسٹنٹ سکر یٹری کی حیثیت سے علی گڑھ بلالیا تھا، جس سے وہ آخر عمر تک وابستہ رہے، مولانا شروانی مرحوم کا قیام امور مذہبی کی صدارت کے سلسلہ میں حیدر آباد میں رہتا تھا، اس لئے کانفرنس کا سارا کام مولانا اکرام اﷲ خان کے ہا تھوں میں تھا، جس کو انھوں نے بڑی خوش اسلوبی سے چلایا، کا نفرنس گزٹ کے اڈیٹر ی کے فرائض بھی وہی انجام دیتے رہے، اور کانفرنس کی تجویزیں اور سالانہ اجلاسوں کی رپورٹیں وغیرہ بھی وہی مرتب کرتے تھے، اور ۱۹۲۰ء سے لے کر ۱۹۵۱ء کامل ۳۰ سال تک کانفرنس انہی کی ذات سے عبارت تھی مرحوم کو ندوۃ العلمأ سے بھی گہرا تعلق تھا، اور وہ ہر زمانہ میں اسکی خدمت انجام دیتے رہے۔
طبعاً نہایت متین، خاموش، کم آمیز اور دنیاوی جاہ وشہرت سے بے نیاز تھے، اسی لئے علمی دنیا میں وہ شہرت حاصل نہ کرسکے، جس کے وہ حقیقتاً مستحق تھے، مگر...
The religion of Buddhism attributed to Siddhartha Gautama (563-482 B.C). Afterwards he came to be known by the name of "Buddha"(mean: awakened). The religion he founded stressed on universal compassion and monasticism. His concept of compassion flowing freely towards all creatures or all living being. That is why, Buddha has forbidden all kind of wars, battles and conflicts as they cause ferocity or bloodshed. When Emperor Asoka (273-233 B.C.) accepted Buddhism as a true believer, then he set up good examples of piety, sympathy and compassion. If we look all around the modern age of Buddhism, they put off the peace living teachings of Gautama. The obvious example of that conduct is oppressive attacks on Rohingya Muslims. Since the £2012, (when the conflicts started between the Rohingya Muslims and the extremist Buddhist) innumerable Muslims are killed, mosques, houses and villages are being set on fire and destroyed.
Image restoration is defined as a technique to bring back contents of initial image from the degraded one with or without having prior knowledge about degradation process. Image degradation may appear in any of the processing phases including: acquisition, reproduction, storage, transmission, compression, and/or pre-processing phase. In this thesis, research has been presented in the domain of image restoration. Image restoration offers exciting application and research opportunities for many application domains e.g. astronomical imaging, medical imaging, defense applications along with numerous other post-processing techniques. A degradation model needs to be developed first for image restoration. This degradation is usually a consequence of addition of blur or noise. Once the degradation has been modeled, images can be restored towards the approximation of their reality. However, in reality, a-priori information about the blur or noise is not known in many situations thereby making image restoration a more difficult task. In order to overcome this problem, estimation techniques are used on true image as well as degraded one to get a better approximation. Major focus of this thesis has been to study existing modern soft computing based techniques and to develop new image restoration techniques using soft computing. Research centers around restoration of corrupted images subjected to different types of impulse noise for grayscale as well as for color images. This restoration is achieved by making good tradeoff between two essential but contradictory characteristics of images i.e. smoothness and edge preservation. This dissertation makes the following contributions in the field of image restoration: (1) Machine Learning based Impulse Noise Detector is proposed which has high noise detection accuracy and very few false alarms for whole range of noise density. (2) Directional Weighted Switching Median filter is proposed which performs well even at high noise density and has outstanding detail preservation capability. (3) Fuzzy based filter using statistical estimators is proposed for random-valued impulse noise. (4) Color differences based fuzzy color filter is proposed which preserves the color differences of the image. (5) In the end, a novel technique is proposed for noise type identification making automatic image restoration techniques to be more generic and useful. Significant experimentation is performed to evaluate performance of proposed techniques with the impressive results. This experimentation is based upon both qualitative and quantitative error measures.