HDR image retrieval by using color-based descriptor and tone mapping operator

2019 ◽  
Vol 36 (6) ◽  
pp. 1111-1126 ◽  
Author(s):  
Raoua Khwildi ◽  
Azza Ouled Zaid
Keyword(s):  
Image Retrieval ◽  
Tone Mapping ◽  
Hdr Image

scholarly journals A fixed-point implementation of tone mapping operation for HDR images expressed in floating-point format

2014 ◽  
Vol 3 ◽  
Author(s):  
Toshiyuki Dobashi ◽  
Atsushi Tashiro ◽  
Masahiro Iwahashi ◽  
Hitoshi Kiya
Keyword(s):  
Fixed Point ◽  
Dynamic Range ◽  
Floating Point ◽  
Tone Mapping ◽  
Fixed Point Arithmetic ◽  
Memory Cost ◽  
Point Data ◽  
Point Arithmetic ◽  
Intermediate Format ◽  
Hdr Image

A tone mapping operation (TMO) for HDR images with fixed-point arithmetic is proposed. A TMO generates a low dynamic range (LDR) image from a high dynamic range (HDR) image by compressing its dynamic range. Since HDR images are generally expressed in a floating-point data format, a TMO also deals with floating-point data even though resulting LDR images have integer data. As a result, conventional TMOs require many resources such as computational and memory cost. To reduce the resources, an integer TMO which treats a floating-point number as two 8-bit integer numbers was proposed. However, this method has the limitation of available input HDR image formats. The proposed method introduces an intermediate format to relieve the limitation of input formats, and expands the integer TMO for the intermediate format. The proposed integer TMO can be applied for multiple formats such as the RGBE and the OpenEXR. Moreover, the method can conduct all calculations in the TMO with fixed-point arithmetic. Using both integer data and fixed-point arithmetic, the method reduces not only the memory cost, but also the computational cost. The experimental and evaluation results show that the proposed method reduces the computational and memory cost, and gives almost same quality of LDR images, compared with the conventional method with floating-point arithmetic.

Natural hdr image tone mapping based on retinex

2011 ◽  
Vol 57 (4) ◽  
pp. 1807-1814 ◽  
Author(s):  
Kyungman Kim ◽  
Jonghyun Bae ◽  
Jaeseok Kim
Keyword(s):  
Tone Mapping ◽  
Hdr Image

scholarly journals TMQI and Structural Fidelity for Tone Mapped Images

2019 ◽  
Vol 8 (11S2) ◽  
pp. 164-169
Keyword(s):  
Cutting Edge ◽  
Tone Mapping ◽  
Domain Names ◽  
Structural Consistency ◽  
Hdr Image

The use of HDR imaging is sharpening off as frequently as doable clearly identified in a few domain names and cutoff of the cutting-edge-day-day modernized digital digicam devices are making HDR photographs. With the guide of a whole way most through a long way of the presentation gadgets financially open are not dealt with to show HDR photos. Any greater, HDR pix need to be tone mapped to show them on because of this available LDR appears. in this paper, 5 specific tone mapping operators(TMO, for example, Gamma update, Reinhard, Raman, drago, Ashikhmin are related to HDR image to make LDR photographs that can be hooked up on modified over grandstand off gadgets. The reason excellent parameters, as an example, PSNR, mPSNR, Structural consistency, Tone Mapped first elegance Index (TMQI) are reviewed and for each approach, dating of the consequences is finished.

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