Xử lý ảnh số - Nâng cao chất lượng ảnh part 4 docx

... KHÁI QUÁT VỀ XỬ LÝ ẢNH VÀ NÂNG CAO CHẤT LƢỢNG ẢNH TRONG MIỀN KHÔNG GIAN 1.1. Khái quát về xử lý ảnh 1.1.1. Xử lý ảnh là gì Quá trình xử lý ảnh được xem như là quá trình thao tác ảnh đầu vào ... MỤC HÌNH ẢNH 4 PHẦN MỞ ĐẦU 6 CHƢƠNG I. KHÁI QUÁT VỀ XỬ LÝ ẢNH VÀ NÂNG CAO CHẤT LƢỢNG ẢNH TRONG MIỀN KHÔNG GIAN 7 1.1. Khái quát về xử lý ảnh 7 1.1.1. Xử lý ảnh là gì 7 1.1.2. Một số vấn đề ... – CTL501 36 ḡnhau (2. 4- 3 ) (2. 4- 4 ) (2. 4- 5 ) {ḡ ḡ , σ2ḡ (x,y)σ2ῆ (x,y) ḡ Ƞ : (2. 4- 6 ) - - {ḡ ḡ. Hình 2.28. a :ảnh gốc, b :ảnh được điều chỉnh nhiễu với...

... x? lý ti?ng nói Nâng cao chất lượng tiếng nói liên quan đến việc cải thiện cảm nhận đối với tiếng nóibị suy giảm chất lượng do sự có mặt của nhiễu trong tiếng nói. Mục đích của nâng cao chất lượng ... toán nâng cao chất lượng tiếng nói là ta không có tínhiệu trước tín hiệu sạch s[n] nên ta không thể biết phổ của nó. Do đó ta không thể tínhđược priSNR mà trong các hệ thống nâng cao chất lượng ... priSNR là tham số rất cần thiết để ước lượng tín hiệu sạch. Trong các hệ thống nâng cao chất lượng giọngnói có thể ước lượng được priSNR và postSNR bằng cách cho các thông số thích hợp vàocác...

... chọn bằng 2.Nhập môn xử lý ảnh số - ĐHBK Hà nội 76 Chơng Bốn: xử lý và nâng cao chất lợng ảnh 4 xử lý và nâng cao chất lợng ảnh image enhancement Nâng cao chất lợng ảnh là một bớc quan ... a )ảnh màu cùng với lợc đồ xám. Chỉ số màu cao nhất: 243 .Nhập môn xử lý ảnh số - ĐHBK Hà nội 78 Chơng Bốn: xử lý và nâng cao chất lợng ảnh 2.397 0.157 -0 .033 -0 .005 a = 2 .41 5 b = 0.1 94 c = -0 . 040 ... tử gờ sai phân.Nhập môn xử lý ảnh số - ĐHBK Hà nội 86 Chơng Bốn: xử lý và nâng cao chất lợng ảnh Y = 1926 36 31 19 1635 39 46 31 2736 43 49 34 2736 43 48 34 12 24 35 33 22 11Một...

... (ci+1 - ci)/3h 0 ≤ i ≤ N-1, d0 = dN = 0 ( 4- 6 0)Nhập môn xử lý ảnh số - ĐHBK Hà nội 23 Obj 143 Obj 144 Obj 145 Obj 146 Chương Bốn: XỬ LÝ VÀ NÂNG CAO CHẤT LƯỢNG ẢNH u(x,y) h(x,y ) w(x,y) g ... E[u(m,n) - û(m,n)]v(m-k,n-l) = 0 ( 4- 5 0)sẽ làm giảm số phương trình xuống còn (2M+1)2 ∀ (k,l) ∈ W: rvv(m,n) - g(k,l)ruv(m-k,n-l) = 0 ( 4- 5 1)(kết quả này suy ra từ 4- 4 0, 4- 4 1 và 4- 4 2).Áp ... bởi 4- 1 6 đến 4- 1 8 có thể thành một xấp xỉ rời rạc:v(x,y) = g[w(x,y) + η(x,y) ( 4- 2 9)Nhập môn xử lý ảnh số - ĐHBK Hà nội 19 Obj129Obj130Obj131Chương Bốn: XỬ LÝ VÀ NÂNG CAO CHẤT LƯỢNG ẢNH Các...

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... Chương Bốn: XỬ LÝ VÀ NÂNG CAO CHẤT LƯỢNG ẢNH 4 XỬ LÝ VÀ NÂNG CAO CHẤT LƯỢNG ẢNH IMAGE ENHANCEMENT Nâng cao chất lượng ảnh là một bước quan trọng, tạo tiền đề cho xử lý ảnh. Mục đích chính ... m«n xö lý ¶nh sè - §HBK Hµ néi 92 Chương Bốn: XỬ LÝ VÀ NÂNG CAO CHẤT LƯỢNG ẢNH P = LTL= -4 6 -4 V = LTy = -3 1 -4 6 1Giải phương trình F - S = 0 với S = 5 ta thu được x = 0.02 74. Giải ... ảnh lược đồHình 4. 1. Các kỹ thuật cải thiện ảnh NhËp m«n xö lý ¶nh sè - §HBK Hµ néi 75 Chương Bốn: XỬ LÝ VÀ NÂNG CAO CHẤT LƯỢNG ẢNH với máy ảnh (γ =-1 ) ta có v(x,y) = -log w + αη1(x,y) ( 4- 2 6)Ngoài...

... 3: Xử Lý Nâng Cao Chất Lượng Ảnh 40 o Toán tử toàn cục (Global Operations): giá trị của 1 ñiểm ảnh ñầu ra phụ thuộc vào tất cả giá trị các ñiểm ảnh trong ảnh vào o Xử lý ñiểm ảnh ... ñiểm ảnh Z+p ñược gọi là lân cận Z (Z-neighborhood) của p trên ảnh I ñược ñịnh nghĩa: N{I,Z}(p). Hình 3 .40 Tính trị trung bình của phép giãn ảnh Chương 3: Xử Lý Nâng Cao Chất Lượng Ảnh ... giãn. Chương 3: Xử Lý Nâng Cao Chất Lượng Ảnh 59 chất của nhiễu (thường tương ứng với tần số cao) và từ cơ sở lý thuyết lọc là: bộ lọc chỉ cho tín hiệu có tần số nào ñó thông qua...

... ảnh đầu ra.Log0 L-1L /4 L/2 3L /4 L /4 L/23L /4 L-1Cấp xám đầu raCấp xám đầu vào Nâng cao chất lƣợng ảnh là bước cần thiết trong xử lý ảnh nhằm hoàn thiện một số đặc tính của ảnh. Nâng cao ... 0 4 5 6 2 57 0 1 2 7 0 0 0 3 4 5 2 4 5 6 7 0 32 1 6 3 4 5 6 2 73 6 2 5 3 7 0 3 17 5 4 3 7 4 2 1 02 5 2 1 0 0 7 4 35 4 3 6 1 5 6 7 30 3 1 5 4 0 6 4 45 4 6 7 3 2 1 5 20 7 6 5 0 7 7 7 4 3 ... src="data:image/png;base 64, 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... MỘT SỐ KỸ THUẬT NÂNG CAO CHẤT LƯỢNG ẢNH VÀ ỨNG DỤNG ĐỒ ÁN TỐT NGHIỆP Sv: Trần Thị Phượng – CT1002 37 Hình 4. 1 .4 Phiếu kết quả sau khi xoay ảnh TÌM HIỂU MỘT SỐ KỸ THUẬT NÂNG CAO CHẤT LƯỢNG ẢNH ... thực hiện được các nội dung chính sau: Tìm hiểu về một số kĩ thuật toán nâng cao chất lượng ảnh: Nghiên cứu ứng dụng nâng cao chất lượng ảnh cho bài toán nhận dạng phiếu kết quả thi TOEIC tại ... LÝ ẢNH 6 1.1 Tổng quan về một hệ thống xử lý ảnh 6 1.2 Một số vấn đề trong xử lý ảnh 7 1.2.1 Các khái niệm cơ bản 7 1.2.2 Biểu diễn ảnh 8 1.2.3 Biến đổi ảnh (Image Transform) 8 1.2 .4 Phân...

... cách nâng cao chất lượng phụcvụ để tạo sự khác biệt. Vậy nâng cao chất lượng phục vụ có những ý nghĩa sau:1.3.5.1 Nâng cao chất lượng dịch vụ giúp gia tăng lợi nhuận cho nhà hàng Chất lượng ... có chất lượng cao. Vậy để nâng cao vị thếcạnh tranh cũng như nâng cao giá bán mà vẫn được khách hàng chấp nhận thìbuộc các nhà quản trị phải tìm cách nâng cao chất lượng phục vụ.1.3.5.3 Nâng ... hàngvề chất lượng dịch vụ. Vì thế, để nâng cao chất lượng dịch vụ, các nhà quản trịcần phải cải tiến cả chất lượng kỹ thuật và chất lượng chức năng theo nhữngthay đổi của khách hàng.1.3.2 .4 Chất...