結合JND模型的圖像拼接縫消除方法

陳勇; 詹帝

doi:10.11999/JEIT170059

結合JND模型的圖像拼接縫消除方法

doi: 10.11999/JEIT170059

陳勇¹,
詹帝¹

基金項目:

國家自然科學基金(60975008)，重慶市教委科學技術研究項目(KJ1400434)

計量
- 文章訪問數(shù): 1761
- HTML全文瀏覽量: 133
- PDF下載量: 247
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-01-16
- 修回日期: 2017-04-17
- 刊出日期: 2017-10-19

Image Seamline Removal Method Based on JND Model

CHEN Yong¹,
ZHAN Di¹

Funds:

The National Natural Science Foundation of China (60975008), The Science and Technology Research Project of Chongqing Education Committee (KJ1400434)

摘要

摘要: 該文針對待拼接圖像間的亮度差異而導致拼接圖像存在拼接縫的問題，提出一種基于JND(Just Noticeable Difference)模型的新的亮度拼接縫去除方法。該圖像拼接縫優(yōu)化算法分為3個步驟。將待優(yōu)化圖像變換到HSV空間，并提取V分量；在V分量圖中自適應確定過渡區(qū)域寬度，根據(jù)JND模型計算區(qū)域內(nèi)各點的優(yōu)化閾值確定優(yōu)化量大小并進行優(yōu)化；將優(yōu)化后的V分量與分離的H，S分量結合進行逆變換即可得到最終優(yōu)化的拼接圖像。實驗結果表明，該算法能夠實現(xiàn)圖像亮度的平滑過渡，在亮度差較大的情況下也能得到較好結果。同時，該算法能夠有效地避免常用基于RGB空間的拼接縫去除方法所帶來的偏色問題，具有更大的適用范圍。
- 圖像處理 /
- 亮度差 /
- 圖像拼接縫 /
- JND模型 /
- HSV空間
Abstract: An efficient approach based on Just Noticeable Difference (JND) model is proposed to solve the seamline problem caused by illuminate difference. The seamline optimization method operates via a three-stage approach. In the first stage, the image is transformed into Hue, Saturation, Value (HSV) color space, the V weight is selected for the follow-up stage, and the width of correct region is conformed self-adaptively. The second stage is using JND model to calculate the optimize V weight. Last stage is transforming HSV into RGB to get final optimized image. Extensive experimental results using natural images indicate that the proposed method can remove the seamline efficiently. The effect of seamline removal is better even the brightness difference is great. Meanwhile, the proposed method can avoid the color cast problem caused by RGB color space.
- Image processiug /
- Luminance difference /
- Image seamline /
- Just Noticeable Difference (JND) model /
- Hue, Saturation, Value (HSV) color space

HTML全文

參考文獻(32)

YANG L, REN Y, and ZHANG W. 3D depth image analysis for indoor fall detection of elderly people[J]. Digital Communications and Networks, 2016, 2(1): 24-34. doi: 10.1016/j.dcan.2015.12.001.

程爭剛, 張利. 一種基于無人機位姿信息的航拍圖像拼接方法[J]. 測繪學報, 2016, 45(6): 698-705. doi: 10.11947/j.AGCS. 2016.20150567. CHENG Zhenggang and ZHANG Li. An aerial image mosaic method based on UAV position and attitude information[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(6): 698-705. doi: 10.11947/j.AGCS.2016.20150567.

張寶龍, 李洪蕊, 李丹, 等. 一種針對車載全景系統(tǒng)的圖像拼接算法的仿真[J]. 電子與信息學報, 2015, 37(5): 1149-1153. doi: 10.11999/JEIT141185.

ZHANG Baolong, LI Hongrui, LI Dan, et al. A simulation of image mosaic algorithm based on vehicle panorama system[J]. Journal of Electronics Information Technology, 2015, 37(5): 1149-1153. doi: 10.11999/JEIT141185.

王超, 王浩, 王偉, 等. 基于優(yōu)化ROI的醫(yī)學圖像分割與壓縮方法研究[J]. 重慶郵電大學學報自然科學版, 2015, 27(2): 279-284. doi: 10.3979/j.issn.1673-825X.2015.02.025.

WANG Chao, WANG Hao, WANG Wei, et al. Study of optimized ROI based medical image segmentation and compression method[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2015, 27(2): 279-284. doi: 10.3979/j.issn.1673-825X.2015.02. 025.

戚曹, 朱桂斌, 陽溢, 等. 基于局部自相似性的視頻圖像超分辨率算法[J]. 重慶郵電大學學報自然科學版, 2015, 27(5): 692-699. doi: 10.3979/j.issn.1673-825X.2015.05.019.

QI Cao, ZHU Guibin, YANG Yi, et al. Local self-examples based video images super-resolution algorithm[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2015, 27(5): 692-699. doi: 10.3979/j.issn.1673-825X.2015.05.019.

SZELISKI R. Video mosaics for virtual environments[J]. IEEE Computer Graphics Applications, 1996, 16(2): 22-30. doi: 10.1109/38.486677.

田金炎, 段福洲, 王樂, 等. 基于Wallis 與距離權重增強的無人機影像拼接縫消除[J]. 中國圖象圖形學報, 2014, 19( 5) : 806-812. doi: 10.11834/jig.20140520.

TIAN Jinyan, DUAN Fuzhou, WANG Le, et al. UAV image seam elimination method based on Wallis and distance weight enhancement[J]. Journal of Image and Graphics, 2014, 19(5): 806-812.doi: 10.11834/jig.20140520.

SU M S, HWANG W L, and CHENG K Y. Analysis on multiresolution mosaic images[J]. IEEE Transactions on Image Processing, 2004, 13(7): 952-957. doi: 10.1109/TIP. 2004.828416.

PALSSON F, SVEINSSON J R, ULFARSSON M O, et al. Model-based fusion of multi- and hyperspectral images using PCA and wavelets[J]. IEEE Transactions on Geoscience Remote Sensing, 2015, 53(5): 2652-2663. doi: 10.1109/TGRS. 2014.2363477.

朱述龍, 錢曾波. 遙感影像鑲嵌時拼接縫的消除方法[J]. 遙感學報, 2002, 6(3): 183-187. doi: 10.3321/j.issn:1007-4619.2002. 03.005.

ZHU S L and QIAN Z B. The seam-line removal under mosaicking of remotely sensed images[J]. Journal of Remote Sensing, 2002, 6(3): 183-187. doi: 10.3321/j.issn:1007-4619. 2002.03.005.

JIA J and TANG C K. Image stitching using structure deformation[J]. IEEE Transactions on Pattern Analysis Machine Intelligence, 2008, 30(4): 617-631. doi: 10.1109/ TPAMI.2007.70729.

REZ P, GANGNET M, and BLAKE A. Poisson image editing[J]. ACM Transactions on Graphics, 2003, 22(3): 313-318. doi: 10.1145/1201775.882269.

LI J, XU W, ZHANG J, et al. Efficient video stitching based on fast structure deformation[J]. IEEE Transactions on Cybernetics, 2015, 45(12): 2707-2719. doi: 10.1109/TCYB. 2014.2381774.

程紅, 鄭悅, 孫文邦. 基于相鄰像素灰度改正比的遙感圖像拼接縫消除[J]. 電光與控制, 2014(5): 73-77. doi: 10.3969/j.issn. 1671-637X.2014.05.015.

CHENG H, ZHENG Y, and SUN W B. Seamline removal for remote sensing images based on gray correction-ratio of adjoined pixels[J]. Electronics Optics Control, 2014(5): 73-77. doi: 10.3969/j.issn.1671-637X.2014.05.015.

羅如為, 陳孝威. 低重疊度圖像的拼接方法[C]. 第三屆和諧人機環(huán)境聯(lián)合學術會議. 濟南, 2007: 186-192.

LUO Ruwei and CHEN Xiaowei. The method of mosaicing the low overlapping images[C]. HHME: Harmonious Human Computer Environment 2007, Jinan, China, 2007: 186-192.

YANG X K, LIN W S, LU Z K, et al. Just noticeable distortion model and its applications in video coding[J]. Signal Processing: Image Communication, 2005, 20(7): 662-680. doi: 10.1016/j.image.2005.04.001.

SHEN J. On the foundations of vision modeling: I. Weber's law and weberized TV restoration[J]. Physica D Nonlinear Phenomena, 2003, 175(3): 241-251. doi: 10.1016/S0167-2789 (02)00734-0.

王志芳, 劉玉紅, 王穎, 等. 基于數(shù)字圖像處理的人類視覺對比度分辨率限制測定[J]. 生物醫(yī)學工程學雜志, 2008, 25(5): 998-1002. doi: 10.3321/j.issn:1001-5515.2008.05.004.

WANG Zhifang, LIU Yuhong, WANG Ying, et al. Measuring the contrast resolution limits of human vision based on the modern digital image processing[J]. Journal of Biomedical Engineering, 2008, 25(5): 998-1002. doi: 10.3321/j.issn:1001- 5515.2008.05.004.

王湘暉, 曾明. 基于視覺感知的圖像增強質量客觀評價算法[J]. 光電子激光, 2008, 19(2): 258-262. doi: 10.3321/j.issn: 1005-0086.2008.02.032.

WANG Xianghui and ZENG Ming. A new metric for objectively assessing the quality of enhanced images based on human visual perception[J]. Journal of OptoelectronicsLaser, 2008, 19(2): 258-262. doi: 10.3321/j.issn:1005-00 86.2008.02.

CHANDLER D M and HEMAMI S S. VSNR: A wavelet- based visual signal-to-noise ratio for natural images[J]. IEEE Transactions on Image Processing, 2007, 16(9): 2284-2298. doi: 10.1109/TIP.2007.901820.

WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. doi: 10.1109/TIP.2003.819861.

謝正祥, 王志芳, 熊興良, 等. 基于視覺感知噪聲模型的彩色圖像質量評價和彩色圖像質量最佳化[J]. 中國圖象圖形學報, 2010, 15(10): 1454-1464. doi: 10.11834/jig.090290.

XIE Zhengxiang, WANG Zhifang, XIONG Xingliang, et al. Color image quality assessment based on noise model of human vision perception and color image quality optimization[J]. Journal of Image and Graphics, 2010, 15(10): 1454-1464. doi: 10.11834/jig.090290.

施引文獻

資源附件(0)

訪問統(tǒng)計