Image Based Simulation for Pyrography Style Painting

نویسندگان

  • Dong Wang
  • Jionghui Jiang
  • Shisheng Zhou
چکیده

A technique for pyrography characteristic Simulation based on digital image is proposed. Firstly, a fast color characteristics transfer method based on local vector matching is used according to the similar feature of local region of image. Then, the color space is converted from RGB to Ruderman et al.’s perception-based color space lαβ, according to a certain standard, feature vector is obtained from the mean values and standard deviation of local region of source image, and also, a sample matching is performed between the target and the source image according the local vector characteristics. Therefore, the Welsh’s point-to-point matching algorithm is avoided. On the basis of color transfer, the result image is integrated with the texture image, through adjusting the Alpha information; the china traditional folk pyrography painting effect is obtained. The experimental results show that the color transfer algorithm has the some advantages, such as high precision, strong universality and faster computation speed; and the final pyrography effects are satisfying.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Creating Watercolor Style Images Taking Into Account Painting Techniques

Research for creating impressive images like paintings has attained more and more importance because of the recent growth in processing images. Among many painting styles, watercolor style gives a strong impression because of its thin colors and its soft appearance. This paper proposes a method to create watercolor style images from input images, for instance photographs. In contrast with the p...

متن کامل

Artistic Painting Style Transformation Using a Patch-based Sampling Method

Painting style transformation aims to produce a painting in a particular artist’s style from a picture or other paintings. In the previous implementations of example-based painting style transfer, users had to manually select the patches from example patches. It is time-consuming and subjective for a user to select proper patches from a large number of patches. This paper develops a patch-based...

متن کامل

Content Aware Neural Style Transfer

In the emerging inter-disciplinary field of art and image processing, algorithms have been developed to assist the analysis of art work. In most applications, especially brush stroke analysis, high resolution digital images of paintings are required to capture subtle patterns and details in the high frequency range of the spectrum. Algorithms have been developed to learn styles of painters from...

متن کامل

Adaptive Image Translation for Painterly Rendering

In the paper, we present a new method of converting a photo image to a synthesized painting image following the painting style of an example painting image.The proposed method uses a hierarchical and adaptive patch-based approach to both the synthesis of painting styles and preservation of scene details. This approach can be summarized as follows.The input photo image is represented as a set of...

متن کامل

Oil Style Image Generation via Fluid Simulation

Unlike photorealistic rendering striven by traditional 3D computer graphics, NPR emphasizes artistic expression, subjective mood imbuing, and downplaying unimportant information. The paper presents a new automatic method for generating oil paintings via fluid simulation technology. A paintly rendering is built up in a series of layers, drawn with large, long and curved brush strokes, and aligne...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JDCTA

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2010