ڈاکٹر مختار احمدانصاری مرحوم
۹؍ مئی ۱۹۳۶ء کی شام کو سات بجے کے قریب میں ڈیرہ دون کی ایک سڑک سے گزر رہا تھا کہ پیچھے سے ایک موٹر تیزی سے آئی اور نکل گئی، میں نے دیکھا کہ اس پر ڈاکٹر انصاری بیٹھے ہیں، سرکھلا تھا اور چہرہ سے بے حد تکان معلوم ہوتا تھا، رات گزر گئی اور صبح کو ان کی قیام گاہ کی تلاش کی، معلوم ہوا کہ وہ رات ہی دلّی چلے گئے، لیکن جب شام ہوئی تو معلوم ہوا کہ وہ رات دلّی نہیں گئے، راستہ سے سیدھے جنت کو سدھارے، دل دھڑکا آنکھیں پرنم ہوئیں اور سینہ سے آہ کا ایک شعلہ اٹھا، جس نے صبر و تمکین کی متاع کو جلا کر خاکستر بنادیا۔
ڈاکٹر مختار احمد انصاری گو نسب و وطن کے لحاظ سے ضلع غازی پور کے ایک ممتاز قصبہ یوسف پور کے ایک نہایت شریف خاندان سے تھے، مگر در حقیقت ان کا تعلق پورے ہندوستان سے تھا، اس یوسف کا کنعان، وہ محدود مقام نہ تھا، جس کو یوسف پور کہتے ہیں، بلکہ پورا ہندوستان تھا، اسی لئے آج پورے ہندوستان نے ان کی موت کا ماتم کیا، کیا مسلمان، کیا ہندو، کیا سکھ، کیا عیسائی سب نے یہی جانا کہ آج ان کا حقیقی بھائی اس دنیا سے چل بسا۔
میں نے ڈاکٹر انصاری کو سب سے پہلے ۱۹۱۲ء میں اس وقت دیکھا جب وہ بلقان کی جنگ میں طبی وفد لے کر ترکی جارہے تھے اور اس تقریب سے لکھنؤ اسٹیشن سے گزر رہے تھے، مولانا شبلی اور بہت سے لوگ لکھنؤ اسٹیشن پر ڈاکٹر صاحب کو الوداع کہنے گئے تھے، اس وقت ڈاکٹر صاحب کی عمر ۳۰، ۳۲ برس کی تھی، کھلتا ہوا رنگ، دُبلا پتلا چھریرا بدن کشیدہ قامت، ہنستا چہرہ، انوری یا قیصری مونچھیں، جسم پر چست خاکی وردی،...
The wasaṭiyyah (Islamic moderation) concept is deep-rooted in Islam. It is a straight path, a good between two evils; it maintains balance between the two extremes of excess and deficiency, and between fanaticism and negligence. Moderation was widely practiced with the advent of Islam. It was a noteworthy aspect of people’s day to day life and conducts. The term wasaṭiyyah (moderation) emerged in the early eighties. It was initially introduced by Shiekh Yūsuf Al-Qaraḍāwī. He used it in his books and discourses, and gradually it become very prevalent. Few factors resulted in widespread use of the term, the main factor is the western systematic campaign against Islam and Muslims to distort their image and label them with terrorism and extremism. Therefore, they frequently used the term wasaṭiyyah to prove themselves against these accusations. Another factor is the current situation in most Muslim countries and their struggle with social and political injustice which turns Muslim youth to extremism and terrorism that is why Muslim scholars and reformers, through their moderate discourse, stood up and condemned fanaticism and radical ideology. All that made the term wasaṭiyyah widely used by different people from all walks of life, and each has its aims and intentions behind embracing the moderate discourse and raising the flag of wasaṭiyyah (moderation).
Robust Image Forgery Detection and Localization using Texture Information Forensic analysis of images has important applications in security, court of law, insurance agencies, medical imaging, and electronic media. To develop robust image forgery detection and localization methods, applicable to real scenarios are highly needed. The focus of this thesis is to develop automatic image forgery detection and localization techniques. In the image forgery detection and localization, the main challenge is the robust representation of tampering traces. First, to identify the research gaps for contribution, the state-of-the-art passive image forgery detection and localization techniques have been reviewed. The existing techniques are not robust in representing the tampering traces. To overcome this issue two techniques have been proposed. The first technique has been developed to detect copy-move forgery in images by estimating noise patterns. To represent noise patterns, a new descriptor FFT-DRLBP employing Fast Fourier Transformation (FFT) and Discriminative Robust Local Binary Patterns (DRLBP) is introduced. Noise patterns are estimated using FFT, then the discrepancies in the noise patterns due to tampering are encoded using DRLBP. Support Vector Machine (SVM) is used to classify images as authentic or forged. This technique detects authentic and forged images with 99.21 % accuracy.To localize the copy-move forgeries a robust FFT-SIFT descriptor based on FFT and Scale Invariant Feature Transform (SIFT) is proposed. Localization method based on FFT-SIFT descriptor outperforms state-of-the-art and achieves high true positive rate while maintaining low false positive rate.The second technique has been developed to detect splicing forgery in images by estimating noise inconsistencies. For this purpose, a new descriptor DWT-DRLBP is introduced based on Discrete Wavelet Transformation (DWT) and DRLBP. First image is decomposed using DWT, the texture variation in each DWT sub-band is encoded using DRLBP histograms. Cb and Cr components are used to extract features using DWT-DRLBP descriptor. For classification SVM is employed. The method offers excellent results (98.95 %) and outperforms the state-of-the-art methods In addition, to validate the robustness of the proposed methods on real scenarios, a new dataset called Forged Real Images Throughout History (FRITH) is developed to validate the performance of the proposed methods. To further validate the robustness of the proposed methods, cross-dataset experiments are performed to analyze the applicability on unseen images.