حاصل تحقیق
زبان اللہ تعالیٰ کی عطا کردہ نعمتوں میں سب سے بڑی اور عظیم نعمت ہے۔ اس پر سنجیدگی سے غورکرنے کا سلسلہ روزِ اول سے ہی جاری ہے۔ قبل مسیح کےمفکروں اور دانش وروں نے بھی اس پر بہت غور وخوض کیا اور اس کے متعلق مختلف نظریات قائم کیے، اس سلسلے میں مختلف کتب موجود ہیں جو زبان کے متعلق قبل مسیح کے نظریات سے بھری پڑی ہیں۔
اس کے بعد آنے والے مختلف مفکرین نے اس پر تحقیقی کام جاری رکھا۔ اور زبان کے متعلق اپنے نظریات پیش کرتے رہے۔ ان نظریات سے مختلف ماہرین لسانیات نے لسانیات کےمختلف شعبے تخلیق کیے اور ہر شعبے میں خاطر خواہ کام کیا۔
انیسویں صدی میں لسانیات پر باقاعدہ تحقیقی ادارے بننے شروع ہوئے،مغرب نے اس سلسلے میں بہت کام کیا، لیکن یہ بات عیاں ہے کہ بیسویں صدی میں ادب پر جتنا کام ہوا وہ گزشتہ ایک صدی تک نہ ہو سکا، بلاشبہ اس صدی کو ادب کی صدی کہا جاتا ہے اس میں باقی شعبوں کے ساتھ ساتھ لسانیات جیسے اہم مضمون پر بھی بہت زیادہ خامہ فرسائی کی گئی۔
زبان میں لسانیات کے موضوع کے حوالے سے اگر دیکھا جائے تو یہ مختلف عناوین اور اس کےمسائل ومباحث کو سمیٹے ہوئےہے۔ جہاں اس کا تعلق نطق انسانی سے ہے وہاں زبان کے قواعد اور لغتیات پر بھی بحث کرتی ہے۔ اگر لسانیات کی صرف نطق انسانی کے حوالے سے بات کی جائے تو یہ بات عیاں ہے کہ لسانیات کا کسی مخصوص گروہِ انسانی سے تعلق نہیں بلکہ یہ دنیا کی تمام زبانوں کے مسائل کو زیر بحث لاتی ہے۔ مختلف ماہرین لسانیات نے اس کی تعریف مختلف حوالوں سے کی ہے۔ ان میں چند ایک درج ذیل ہیں:
’’زبان کا سائنسی مطالعہ لسانیات کہلاتا ہے۔
It is generally believed that the Constitution of 1973 was passed unanimously by the parliament of Pakistan and was equally acceptable for all the federating units. While studying the processes of the approval of the said constitution inside the assembly, it becomes evident that the reality was quite different. There exists an argument that most of the Opposition members were not allowed to join the parliament’s session while the final approval of the constitution was processed. The present paper is an effort to analyse the developments that took place inside the National Assembly to pass this document which was to serve as the fundamental document of the state system in forthcoming years. In other words, the present article analyses the course of action through which the Constitution was framed. This is an analytical study primarily based on the National Assembly debates supported by the secondary sources, biographies, and autobiographies of the contemporary politicians to understand how far the amendments suggested by the then opposition were accommodated by the ruling party. Furthermore, this paper analyses the reasons for which each government has to amend the basic structure of the constitution to make it more practical and acceptable for its units. For instance the Eighteenth Amendment removed the concurrent list of the constitution but now the following governments are facing issues to implement the Amendment in detail.
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.