In this paper, we describe an effective method for fast checking the quality of digital orthoimages. In order to ensure the
accuracy and precision of digital orthoimages (DOM) before putting into database, we consider metadata, coordinate
data, geometry accuracy, and histogram quality of images as evaluating rules. Template matching is used in Metadata
inspection. Coordinate data inspection is based on the relation between the standard file name of maps and coordinates of
maps. Image matching technique is performed in geometry accuracy inspection. Image histogram quality is evaluated by
the normal distributing curve characteristic. The method is tested feasible in applications for checking the quality of
Proc. SPIE. 6788, MIPPR 2007: Pattern Recognition and Computer Vision
KEYWORDS: Optical filters, Anisotropic filtering, Reflectivity, Linear filtering, Image filtering, High dynamic range imaging, Human vision and color perception, Convolution, Algorithm development, Nonlinear filtering
The dynamic range of many real-world environments exceeds the capabilities of current display technology by several
orders of magnitude. To obtain reasonable reproduction, a large number of high-quality tone-mapping operators are
currently available. All of these methods can be divided into three kinds: global operation, local operation and temporal-related
algorithm. As an effective local operation to avoid halo artifacts, bi-lateral filter is presented and discussed in
recent years. After analysis in-depth, this paper presents an improved bi-lateral filter in high dynamic range compression
focused on four points: calculating efficiency, vision theory support, scales and parameters. Experiments indicate that the
new operator can generate reasonable reproduction of high dynamic range images.
This paper is focused on the restoration of color remote sensing (including airborne photo). A complete approach is recommended. It propose that two main aspects should be concerned in restoring a remote sensing image, that are restoration of space information, restoration of photometric information. In this proposal, the restoration of space information can be performed by making the modulation transfer function (MTF) as degradation function, in which the MTF is obtained by measuring the edge curve of origin image. The restoration of photometric information can be performed by improved local maximum entropy algorithm. What's more, a valid approach in processing color remote sensing image is recommended. That is splits the color remote sensing image into three monochromatic images which corresponding three visible light bands and synthesizes the three images after being processed separately with psychological color vision restriction. Finally, three novel evaluation variables are obtained based on image restoration to evaluate the image restoration quality in space restoration quality and photometric restoration quality. An evaluation is provided at last.
Color image process is a very important problem. However, the main approach presently of them is to transfer RGB colour space into another colour space, such as HIS (Hue, Intensity and Saturation). YIQ, LUV and so on. Virutally, it may not be a valid way to process colour airborne image just in one colour space. Because the electromagnetic wave is physically altered in every wave band, while the color image is perceived based on psychology vision. Therefore, it's necessary to propose an approach accord with physical transformation and psychological perception. Then, an analysis on how to use relative colour spaces to process colour airborne photo is discussed and an application on how to tune the image tone in colour airborne image mosaic is introduced. As a practice, a complete approach to perform the mosaic on color airborne images via taking full advantage of relative color spaces is discussed in the application.