ترميم الصورةتهدف عملية ترميم الصور

ترميم الصورة
تهدف عملية ترميم الصور إلى إزالة التشويش (تشويش المستشعرات، تشويش الحركة وغيرهما) من الصور. تعتبر عمليات الفلترة (فلتر المتوسط - فلتر الوسيط..الخ) من أبسط عمليات إزالة التشويش من الصور. وهناك عمليات معقدة أكثر تفترض الشكل الذي تبدو عليه الصور مما يسمح لها بالتمييز بين الصورة والتشويش. يتم بشكل مبدئي التعرف على مكونات الصورة كالخطوط والمستقيمات ومن ثم التحكم بالفلتر بناء على المعلومات المحلية في جزء الصورة حيث يتم الحصول على نتائج أفضل من استخدام الفلاتر البسيطة.

النتائج (الإنجليزية) 1:

Image restorationPhoto restoration process aims to remove noise (noise sensors, traffic noise and other) images. Medium filter is filtering operations (median filter. Etc) from the simplest operations removing noise from images. There are more complicated operations assume look like images, allowing them to distinguish between the image and noise. It is initially identify the components of the image as lines and straight lines and then the filter control based on local information in the picture pane where you get better results than using simple filters.

النتائج (الإنجليزية) 2:

The restoration of the image
restoration process images designed to remove noise (jamming sensors, jamming traffic and other) images. Is the filtering operations (average filter - Filter Aloset..k) of the simplest remove noise from images operations. There are more complex operations assume the shape that looks like the pictures, allowing them to distinguish between the image and the noise. Is tentatively identify the components of the image such as lines and of lines and then the filter control based on local information in a portion of the picture where they are getting the best out of the use of simple filters results.

النتائج (الإنجليزية) 3:

Image restorationThe aim of image restoration process to remove jamming (jam sensors, motion blur, etc.) from the images. The processes of filtering medium (filter - filter medium, etc.) of the elementary operations to remove noise from images. A more complex assumes the form that look like images, allowing it to discriminate between image noise. The preliminary identification of components of the image as the Walmstqymat filter is then controlled based on local information in the image part where the better results are obtained by using simple filters.