Research And Application Of Image Processing Algorithm Based On Color Reconstruction

With the popularization of multimedia technology in various fields,the demand for the diversification of image colors gradually increases.Image diversification technology is widely used in image editing,home scene and clothing’s color conversion and so on.Image color diversification is to meet the specific application requirements for the purpose,through the relevant technical to make the image appear different color structure.Application-oriented image color diversification technology can avoid a lot of duplication of work,such as product diversification of color rendering.The traditional method of image diversification is mainly used to adjust the design software,such as Photoshop and so on.These methods apply to the color structure of simple images,not only time-consuming and difficult to associate specific scenarios.Image color reconstruction technology is based on the color information of the image color conversion,to achieve the purpose of the image color diversification.This paper focuses on application-oriented image color reconstruction techniques.The main innovation of this article:●An image color reconstruction algorithm based on home scene image is proposedThe editing techniques of home scene images are widely used in the field of home design,and promote the consumption of furniture business platform.The color structure of the home scene image is closely related to its local correspondence.Therefore,different color areas accept different levels of color change.The existing color migration algorithm is aimed at the color transformation of the ordinary landscape image,and the application scene in the home scene is due to the lack of color and the local association of the image furniture.This paper presents a new image color migration framework of the home scene.With the template image as the guide,through a simple interactive behavior can be achieved on the home scene image color redraw transformation.First,the local nature of the color table extraction algorithm to retain the local and color associated nature.Then,the matching color table is generated by using the color structure of the template image as the migration guide.Finally,the target image color transformation based on the matching color table is achieved to maintain the boundary transition.Taking into account the local scene of the scene color of the special characteristics of the introduction of interactive operation to guide the transformation.Through the comparative experimental analysis,the color migration framework can achieve the ideal result,can be more in line with the human eye visual expectations.●Based on energy-saving image color reconstruction algorithmMobile terminal screen display power consumption optimization has been a hot issue.This paper presents anew color table generation strategy applied to image color reconstruction.Use the mainstream mobile terminal to do the test to obtain the original power consumption data,build a power consumption assessment model.The latest data on the organic light-Emitting Diode(UIV OLED)screen is verified by the measurement data to evaluate the effect of different color image images on power consumption.The algorithm framework is applied to the color reconstruction of the image and the color consumption of the mobile navigation map.The experimental results show that the energy saving strategy proposed in this paper satisfies the loss of acceptable visual effect,and the power consumption is optimized.Because the color structure of the image depends on the specific application scene,the image color reconstruction must meet the objective color of the scene.Otherwise,the resulting color-converted image results in distortion.This paper studies the image color reconstruction of home scene and mobile terminal power consumption scene,and obtains a series of research results.The image color reconstruction technology and the combination of specific applications play a positive role in promoting.